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ORCIDBIBM 2019: San Diego, CA, USA
- Illhoi Yoo, Jinbo Bi, Xiaohua Hu:
2019 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2019, San Diego, CA, USA, November 18-21, 2019. IEEE 2019, ISBN 978-1-7281-1867-3 - Kristin P. Bennett:
Artificial Intelligence for Public Health. 1-2 - Pavel A. Pevzner:
Bioinformatics: a Servant or the Queen of Molecular Biology? 3-4 - Ying Xu:
Maintaining Intracellular Acid-Base Homeostasis is Probably at the Core of Cancer Formation, Progression and Metastasis. 5 - Chengqian Che, Zhou Xian, Xiangrui Zeng, Xin Gao, Min Xu:
Domain Randomization for Macromolecule Structure Classification and Segmentation in Electron Cyro-tomograms. 6-11 - Lei Deng, Youzhi Liu, Yechuan Shi, Hui Liu
:
A deep neural network approach using distributed representations of RNA sequence and structure for identifying binding site of RNA-binding proteins. 12-17 - Lei Deng, Xin Sun, Wei Lin, Jingpu Zhang:
DKCirc2GO: Predicting Gene Ontology of circRNAs Using Dual KATZ Approach. 18-23 - Jing Hu, Haomin Gan, Xiaolong Zhang, Nansheng Chen:
Identification of protein hot regions by integrated machine learning algorithm. 24-29 - Sivani Tadepalli, Nasrin Akhter, Daniel Barbará, Amarda Shehu:
Identifying Near-Native Protein Structures via Anomaly Detection. 30-35 - Han Wang, Yuning Yang, Jiawen Yu, Xi Wang, Dawei Zhao, Dong Xu, Pingping Sun:
DMCTOP: Topology Prediction of Alpha-Helical Transmembrane Protein Based on Deep Multi-Scale Convolutional Neural Network. 36-43 - Wei Wang, Qiqige Wuyun, Kevin J. Liu:
An Application of Random Walk Resampling to Phylogenetic HMM Inference and Learning. 44-51 - Wenyi Yang, Lei Deng:
PNAB: Prediction of protein-nucleic acid binding affinity using heterogeneous ensemble models. 58-63 - Qichang Zhao, Fen Xiao, Mengyun Yang, Yaohang Li, Jianxin Wang:
AttentionDTA: prediction of drug-target binding affinity using attention model. 64-69 - Nasrin Akhter, Raviteja Vangara, Gopinath Chennupati, Boian S. Alexandrov, Hristo N. Djidjev, Amarda Shehu:
Non-Negative Matrix Factorization for Selection of Near-Native Protein Tertiary Structures. 70-73 - Lei Deng, Hui Wu, Hui Liu:
D2VCB: A Hybrid Deep Neural Network for the Prediction of in-vivo Protein-DNA Binding from Combined DNA Sequence. 74-77 - Shibing Deng, Joy Hsu, Jadwiga R. Bienkowska, Paul A. Rejto, Tao Xie:
Detecting somatic mutations with high accuracy in plasma cell-free DNA with TNER2. 78-81 - Jianyuan Lin, Xiangxiang Zeng, Yun Zuo, Ying Ju, Xiangrong Liu:
A Deep Neural Network for Antimicrobial Peptide Recognition. 82-85 - Wei Peng, Lun Li, Wei Dai, Jielin Du, Wei Lan:
Predicting protein functions through non-negative matrix factorization regularized by protein-protein interaction network and gene functional information. 86-89 - Jeffrey A. Ruffolo, Zhaoyu Li, Yi Shang:
MUFold-Contact and TPCref: New Methods for Protein Structure Contact Prediction and Refinement. 90-93 - Pingping Sun, Yang Yu, Rui Wang, Mingjun Cheng, Zhiguo Zhou, Hui Sun:
B-cell Epitope Prediction Method based on Deep Ensemble Architecture and Sequences. 94-97 - Xiangwen Wang, Yonggang Lu, Zhenyu Lu, Xingcheng Ran, Jiaxuan Liu:
A Weighted Voting Algorithm for Detecting Reliable Common Lines in Single Particle Cryo-EM. 98-101 - Yi Zhang, Zhecheng Zhang, Hao Cheng, Hengyang Lu, Lei Zhang, Chongjun Wang, Junyuan Xie:
Win-win Cooperation: A Novel Dual-Modal Dual-Label Algorithm for Membrane Proteins Function Pre-screen. 102-106 - Junmin Zhao, Jingpu Zhang, Bin Yang, Yuanyuan Ma:
A Protein Complex Identification Algorithm Based on essential protein. 107-110 - Xiang Chen, Fang-Xiang Wu, Jin Chen, Min Li:
DoRC: Discovery of rare cells from ultra-large scRNA-seq data. 111-116 - Fei He, Rui Wang, Yanxin Gao, Duolin Wang, Yang Yu, Dong Xu, Xiaowei Zhao:
Protein Ubiquitylation and Sumoylation Site Prediction Based on Ensemble and Transfer Learning. 117-123 - Lan Huang, Huimin Luo, Mengyun Yang, Fang-Xiang Wu, Jianxin Wang:
Drug and disease similarity calculation platform for drug repositioning. 124-129 - Qi Li, Tijana Milenkovic:
Supervised prediction of aging-related genes from a context-specific protein interaction subnetwork. 130-137 - Fei Liu, Ena Yamamoto, Katsunobu Shirahama, Tsubasa Saitoh, Shuhei Aoyama, Yumiko Harada, Ryutaro Murakami, Hiroshi Matsuno:
Pattern formation analysis by colored Petri nets with quantitative manipulation of a gene. 138-144 - Lei Wang, Zhu-Hong You, Li-Ping Li, Kai Zheng, Yan-Bin Wang:
Predicting circRNA-disease associations using deep generative adversarial network based on multi-source fusion information. 145-152 - Guangsheng Wu, Juan Liu:
Predicting Drug-Disease Treatment Associations Based on Topological Similarity and Singular Value Decomposition. 153-158 - Jincai Yang, Shunping Ma, Xingpeng Jiang:
Predicting LncRNA-disease Association by Autoencoder and Rotation Forest. 159-164 - Ziying Yang, Guoxian Yu, Jiantao Yu, Maozu Guo, Jun Wang:
CoPath: discovering cooperative driver pathways using greedy mutual exclusivity and bi-clustering. 165-170 - Jie Zeng, Guoxian Yu, Jun Wang, Maozu Guo, Xiangliang Zhang:
DMIL-III: Isoform-isoform interaction prediction using deep multi-instance learning method. 171-176 - Jinli Zhang, Xiaohua Hu, Zongli Jiang, Bo Song, Wei Quan, Zheng Chen:
Predicting Disease-related RNA Associations based on Graph Convolutional Attention Network. 177-182 - Lingzhi Zhu, Guihua Duan, Cheng Yan, Jianxin Wang:
Prediction of Microbe-Drug Associations Based on KATZ Measure. 183-187 - Kimia Ameri, Kathryn M. Cooper:
Network Analysis of Antibiotic Resistance Identifies Compelling Mutations across Pathways. 188-192 - Bolin Chen, Manting Yang, Li Gao, Xuequn Shang:
Identifying functional evolution processes according to the pathological stages of colorectal cancer. 193-196 - Hongyang Jiang, Qiang Huang, Liang Chen, Zhi Li, Ying Xu, Huiyan Sun, Yi Chang:
Multi-Classification of Cancer Samples Based on Co-Expression Analyses. 197-201 - Dongyuan Li, Xiaoke Ma:
Nonnegative Matrix Factorization for Dynamic Modules in Cancer Attribute Temporal Networks. 202-206 - Bo Lu, Xiong-Hui Zhou:
Ensemble Classifier based on gene synergistic network improves breast cancer outcome prediction. 207-210 - Zhangli Lu, Yake Wang, Min Zeng, Min Li:
HNEDTI: Prediction of drug-target interaction based on heterogeneous network embedding. 211-214 - Xiangmao Meng, Xiaoqing Peng, Fang-Xiang Wu, Min Li:
Detecting protein complex based on hierarchical compressing network embedding. 215-218 - Xiwei Tang, Bihai Zhao, Xiao Qiu:
A Novel Algorithm for Prioritizing Disease Candidate Genes from the Weighted PPI Network. 219-222 - Sahar Tavakoli, Shibu Yooseph:
Algorithms for inferring multiple microbial networks. 223-227 - Ling Tian, Jianliang Gao, Jianxin Wang, Ying Wang, Bo Song, Xiaohua Hu:
Measuring Disease Similarity Based on Multiple Heterogeneous Disease Information Networks. 228-231 - Chen Yang, Hui Gao, Xuan Yang, Suiyu Huang, Yulong Kan, Jianxiao Liu:
BnBeeEpi: An Approach of Epistasis Mining Based on Artificial Bee Colony Algorithm Optimizing Bayesian Network. 232-239 - Limin Yu, Xianjun Shen, Xingpeng Jiang, Jincai Yang, Yujuan Yang, Duo Zhong:
Hypergraph Clustering Based on Intra-class Scatter Matrix for Mining Higher-order Microbial Module. 240-243 - Ziling Fan, Kian Ghaffari, Amber Alley, Habtom W. Ressom:
Metabolite Identification Using Artificial Neural Network. 244-248 - Boxin Guan, Yuzhai Zhao, Yuan Li, Ying Yin:
Ant Colony Optimization with Self-Evolving Parameter for Detecting Epistatic Interactions. 249-254 - Mengyuan Wang, Huiru Zheng, Haiying Wang, Richard J. Dewhurst, Rainer Roehe:
A knowledge driven mutual information-based analytical framework for the identification of rumen metabolites. 255-260 - Xiaoshu Zhu, Lilu Guo, Yunpei Xu, Hong-Dong Li, Xingyu Liao, Fang-Xiang Wu, Xiaoqing Peng:
A Global Similarity Learning for Clustering of Single-Cell RNA-Seq Data. 261-266 - Megan E. Barefoot, Yifan Chen, Rency S. Varghese, Yuan Zhou, Habtom W. Ressom:
Integrative Analysis of DNA Methylation and Gene Expression Patterns in Tissues from Hepatocellular Carcinoma Patients. 267-274 - Muhammad Haseeb, Fahad Saeed:
Efficient Shared Peak Counting in Database Peptide Search Using Compact Data Structure for Fragment-Ion Index. 275-278 - Somadina Mbadiwe, Jeremy M. Dawson, Donald A. Adjeroh:
FaceSNPs: Identifying Face-Related SNPs from the Human Genome. 279-282 - S. M. Iqbal Morshed, Shibu Yooseph:
SOF: An Efficient String Graph Construction Algorithm. 283-287 - Wei Quan, Guangri Quan, Bo Liu, Yadong Wang:
A Bidirectional Fuzzy Index and Approximate Search Algorithm for Next Generation Sequencing. 293-297 - Haohan Wang, Changpeng Lu, Wei Wu, Eric P. Xing:
Graph-structured Sparse Mixed Models for Genetic Association with Confounding Factors Correction. 298-302 - Yanjun Li, Mohammad A. Rezaei, Chenglong Li, Xiaolin Li:
DeepAtom: A Framework for Protein-Ligand Binding Affinity Prediction. 303-310 - Zhirui Liao, Ronghui You, Xiaodi Huang, Xiaojun Yao, Tao Huang, Shanfeng Zhu:
DeepDock: Enhancing Ligand-protein Interaction Prediction by a Combination of Ligand and Structure Information. 311-317 - Yuzhong Peng, Ziqiao Zhang, Qizhi Jiang, Jihong Guan, Shuigeng Zhou:
TOP: Towards Better Toxicity Prediction by Deep Molecular Representation Learning. 318-325 - Chenrui Zhang, Xiaoqing Lyu, Yifeng Huang, Zhi Tang, Zhenming Liu:
Molecular Graph Generation with Deep Reinforced Multitask Network and Adversarial Imitation Learning. 326-329 - Chun Jiang Zhu, Tan Zhu, Haining Li, Jinbo Bi, Minghu Song:
Accelerating Large-Scale Molecular Similarity Search through Exploiting High Performance Computing. 330-333 - Suganya Chandrababu, Dhundy R. Bastola:
Multi-Stage Probabilistic Bipartite Graph Algorithm - Effect of Herbal Medicines on the Gut Ecosystem. 334-341 - Jun Chen, Jingbo Zhou, Zhenhui Shi, Bin Fan, Chengliang Luo:
Knowledge Abstraction Matching for Medical Question Answering. 342-347 - Yuwen Chen, Jiangtao Ren:
Automatic ICD code assignment utilizing textual descriptions and hierarchical structure of ICD code. 348-353 - Xin Chen, Xien Liu, Ji Wu:
Drug-drug Interaction Prediction with Graph Representation Learning. 354-361 - Juncheng Ding, Wei Jin:
OverlapLDA: A Generative Approach for Literature-Based Discovery. 362-369 - Yongping Du, Wenyang Guo, Yiliang Zhao:
Hierarchical Question-Aware Context Learning with Augmented Data for Biomedical Question Answering. 370-375 - Hao Fei, Yafeng Ren, Donghong Ji:
Recognizing Nested Named Entity in Biomedical Texts: A Neural Network Model with Multi-Task Learning. 376-381 - Lvxing Zhu, Zhaolin Hong, Haoran Zheng:
Predicting gene-disease associations via graph embedding and graph convolutional networks. 382-389 - Neng Huang, Fan Nie, Peng Ni, Feng Luo, Jianxin Wang:
An attention-based neural network basecaller for Oxford Nanopore sequencing data. 390-394 - Tianwen Jiang, Zhihan Zhang, Tong Zhao, Bing Qin, Ting Liu, Nitesh V. Chawla, Meng Jiang:
CTGA: Graph-based Biomedical Literature Search. 395-400 - Jie Li, Zhun Zhao, Li Zhou, Yadong Wang:
Y-SPCR: A new dimensionality reduction method for gene expression data classification. 401-408 - Xinlei Li, Dawei Yang, Yan Wang, Shuai Yang, Lizhe Qi, Fufeng Li, Zhongxue Gan, Wenqiang Zhang:
Automatic Tongue Image Segmentation For Real-Time Remote Diagnosis. 409-414 - Hansheng Li, Jun Feng, Baosheng Kang, Yuxin Kang, Feihong Liu, Wenli Hui, Qirong Bo, Chunbao Wang, Lin Yang, Lei Cui:
Global Bank: A Guided Pathway of Encoding and Decoding for Pathological Image Analysis. 415-422 - Huaqing Li, Haluk Dogan, Juan Cui:
A New Approach to Batch Effect Removal Based on Distribution Matching in Latent Space. 423-430 - Xingyu Liao, Xiankai Zhang, Fang-Xiang Wu, Jianxin Wang:
de novo repeat detection based on the third generation sequencing reads. 431-436 - Shiyu Liu, Jia Yao, Mehul Motani:
Early Prediction of Vital Signs Using Generative Boosting via LSTM Networks. 437-444 - Shichao Liu, Ziyang Huang, Yang Qiu, Yi-Ping Phoebe Chen, Wen Zhang:
Structural Network Embedding using Multi-modal Deep Auto-encoders for Predicting Drug-drug Interactions. 445-450 - Zeming Liu, Feng Liu, Chengzhi Hong, Meng Gao, Yi-Ping Phoebe Chen, Shichao Liu, Wen Zhang:
Detection of Cell Types from Single-cell RNA-seq Data using Similarity via Kernel Preserving Learning Embedding. 451-457 - Lorenzo Madeddu, Giovanni Stilo, Paola Velardi:
Predicting Disease Genes Using Connectivity and Functional Features. 458-465 - Ashish Pandey, Zhen Lyu, Trupti Joshi, Prasad Calyam:
OnTimeURB: Multi-Cloud Resource Brokering for Bioinformatics Workflows. 466-473 - Amine M. Remita, Abdoulaye Baniré Diallo:
Statistical Linear Models in Virus Genomic Alignment-free Classification: Application to Hepatitis C Viruses. 474-481 - Artem Shelmanov, Vadim Liventsev, Danil Kireev, Nikita Khromov, Alexander Panchenko, Irina Fedulova, Dmitry V. Dylov:
Active Learning with Deep Pre-trained Models for Sequence Tagging of Clinical and Biomedical Texts. 482-489 - Zhe Sun, Shaoliang Peng, Yaning Yang, Xiaoqi Wang, Fei Li:
A General Fine-tuned Transfer Learning Model for Predicting Clinical Task Acrossing Diverse EHRs Datasets. 490-495 - Xuan Wang, Yu Zhang, Qi Li, Xiang Ren, Jingbo Shang, Jiawei Han:
Distantly Supervised Biomedical Named Entity Recognition with Dictionary Expansion. 496-503 - Xiaochan Wang, Yuchong Gong, Jing Yi, Wen Zhang:
Predicting gene-disease associations from the heterogeneous network using graph embedding. 504-511 - Yuxing Wang, Jingbo Xia, Kaiyin Zhou, Jin-Dong Kim, Kevin Cohen, Mina Gachloo, Yuxin Ren, Shanghui Nie, Xuan Qin, Panzhong Lu:
An Active Gene Annotation Corpus and Its Application on Anti-epilepsy Drug Discovery. 512-519 - Haohan Wang, Yibing Wei, Mengxin Cao, Ming Xu, Wei Wu, Eric P. Xing:
Deep Inductive Matrix Completion for Biomedical Interaction Prediction. 520-527 - Yuyou Weng, Chen Lin, Xiangxiang Zeng, Yun Liang:
Drug Target Interaction Prediction using Multi-task Learning and Co-attention. 528-533 - Rick Wertenbroek, Yann Thoma:
Acceleration of the Pair-HMM forward algorithm on FPGA with cloud integration for GATK. 534-541 - Jingli Wu, Ke Pan, Kai Zhu, Qirong Cai:
Identifying Common Driver Pathways based on Pan-cancer Data. 542-547 - Xuezhi Xie, Yuanyuan Han, Kaizhong Zhang:
MHCherryPan. a novel model to predict the binding affinity of pan-specific class I HLA-peptide. 548-554 - Yanzhen Xu, Xiaohan Zhao, Shuai Liu, Shichao Liu, Yanqing Niu, Wen Zhang, Leyi Wei:
LncPred-IEL: A Long Non-coding RNA Prediction Method using Iterative Ensemble Learning. 555-562 - Zhenghua Xu, Chang Qi, Guizhi Xu:
Semi-Supervised Attention-Guided CycleGAN for Data Augmentation on Medical Images. 563-568 - Fan Yang, Tanvi Banerjee, Mark J. Panaggio, Daniel M. Abrams, Nirmish Shah:
Continuous Pain Assessment Using Ensemble Feature Selection from Wearable Sensor Data. 569-576 - Min Zeng, Chengqian Lu, Fuhao Zhang, Zhangli Lu, Fang-Xiang Wu, Yaohang Li, Min Li:
LncRNA-disease association prediction through combining linear and non-linear features with matrix factorization and deep learning techniques. 577-582 - Jinyong Zhang, Dandan Fang, Weizhong Zhao, Jincai Yang, Wen Zou, Xingpeng Jiang, Tingting He:
An Improved Biomedical Event Trigger Identification Framework via Modeling Document with Hierarchical Attention. 583-589 - Wanlu Zhang, Qigang Wang, Mei Li:
Medical Image Collaborative Training Based on Multi-Blockchain. 590-597 - Jingqing Zhang, Xiaoyu Zhang, Kai Sun, Xian Yang, Chengliang Dai, Yike Guo:
Unsupervised Annotation of Phenotypic Abnormalities via Semantic Latent Representations on Electronic Health Records. 598-603 - Yidan Zhang, Lei Duan, Huiru Zheng, Jesse Li-Ling, Bin Hu, Ruiqi Qin, Chengxin He:
SCENARIO: Discovery of Similar Aspects for Gene Similarity Explanation from Gene Information Network. 604-609 - Yue Zhao, Pujan Joshi, Dong-Guk Shin:
Recurrent Neural Network for Gene Regulation Network Construction on Time Series Expression Data. 610-615 - Wei Zhong, Zhongping Cao, Xuemei Guo, Guoli Wang:
A Novel Framework for Maternal ECG Removal from Single-Channel Abdominal Recording. 616-621 - Shuang Zhou, Xiang Yue, Xinran Xu, Shichao Liu, Wen Zhang, Yanqing Niu:
LncRNA-miRNA interaction prediction from the heterogeneous network through graph embedding ensemble learning. 622-627 - Qing Zhu, Chang Han, Qiang Zhu, Tingting He, Xingpeng Jiang:
Integrating Deep Textual Features to Probability Matrix Factorization for Metabolite-disease Association Prediction. 628-633 - Tanvir Alam, Mohammad Tariqul Islam, Sebastian Schmeier, Mowafa S. Househ, Dena Al-Thani:
DeePEL: Deep learning architecture to recognize p-lncRNA and e-lncRNA promoters. 634-638 - Lei Chen, Hong Song, Qiang Li, Yutao Cui, Jian Yang, Xiaohua Tony Hu:
Liver Segmentation in CT Images Using a Non-Local Fully Convolutional Neural Network. 639-642 - Zhihui Chen, Junzhong Ji, Yin Liang:
Convolutional Neural Network with an Element-wise Filter to Classify Dynamic Functional Connectivity. 643-646 - Diana Diaz, Aliccia Bollig-Fischer, Alexander Kotov:
Tensor Decomposition for Sub-typing of Complex Diseases based on Clinical and Genomic Data. 647-651 - Andrea Gulino, Eirini Stamoulakatou, Arif Canakoglu, Pietro Pinoli:
Analysis and Visualization of Mutation Enrichments for Selected Genomic Regions and Cancer Types. 652-655 - Fan Hu, Jiaxin Jiang, Peng Yin:
Interpretable Prediction of Protein-Ligand Interaction by Convolutional Neural Network. 656-659 - Chengbin Huang, Weiting Chen, Guitao Cao:
Automatic Epileptic Seizure Detection via Attention-Based CNN-BiRNN. 660-663 - Jeonghee Jo, Hyun-Soo Choi, Sungroh Yoon:
Prediction of Drug Classes with a Deep Neural Network using Drug Targets and Chemical Structure Data. 664-667 - Qing Li, L. Frank Huang, Jiang Zhong, Lili Li, Qi Li, Junhao Hu:
Data-driven Discovery of a Sepsis Patients Severity Prediction in the ICU via Pre-training BiLSTM Networks. 668-673 - Yacong Li, Kuanquan Wang, Qince Li, Cunjin Luo, Xiangyun Bai, Henggui Zhang:
Different Effects of Species-dependent Funny Channel Current on Engineered Biological Pacemaking Activity. 674-677 - Xuewei Li, Ruiguo Yu, Hongqian Shen, Mei Yu, Xi Wei, Han Jiang, Jialin Zhu, Jie Gao, Zhiqiang Liu, Yulin Zhang:
Blind Image Inpainting Using Pyramid GAN on Thyroid Ultrasound Images. 678-683 - Xiang Li, Zhigang Zhao, Dawei Song, Yazhou Zhang, Chunyang Niu, Junwei Zhang, Jidong Huo, Jing Li:
Variational Autoencoder based Latent Factor Decoding of Multichannel EEG for Emotion Recognition. 684-687 - Junwei Li, Junzhong Ji, Yin Liang, Xiaodan Zhang, Zihan Wang:
Deep Forest with Cross-shaped Window Scanning Mechanism to Extract Topological Features. 688-691 - Gongbo Liang, Xiaoqin Wang, Yu Zhang, Xin Xing, Hunter Blanton, Tawfiq Salem, Nathan Jacobs:
Joint 2D-3D Breast Cancer Classification. 692-696 - Zexiong Liu, Xuan Yang:
A Squeeze Convolutional Network For MRI Right Ventricle Segmentation. 697-700 - Salim Malakouti, Milos Hauskrecht:
Hierarchical Adaptive Multi-task Learning Framework for Patient Diagnoses and Diagnostic Category Classification. 701-706 - Mohammad Hamed Mozaffari, Chanho Kim, Won-Sook Lee:
Ultrasound Tongue Contour Extraction using Dilated Convolutional Neural Network. 707-710 - Liang Qiao, Hongkun Yu, Kunpeng Wang, Ruixin Sun, Wenlai Zhao, Haohuan Fu, Guangwen Yang:
Large-scale Parallel Design for Cryo-EM Structure Determination on Heterogeneous Many-core Architectures. 711-716 - Zhe Quan, Yan Guo, Xuan Lin, Zhi-Jie Wang, Xiangxiang Zeng:
GraphCPI: Graph Neural Representation Learning for Compound-Protein Interaction. 717-722 - Ran Zhong, Xusheng Li, Xia Sun, Chengcheng Fu, Tingting He, Xingpeng Jiang:
Microbial Interaction Extraction from Biomedical Literature using Max-Bi-LSTM. 723-726 - Dongdong Ren, Jinbao Li, Lingli Li, Haiwei Pan, Minglei Shu:
Low Dose CT Image Denoising Using Multi-level Feature Fusion Network and Edge Constraints. 727-731 - Zeenat Tariq, Sayed Khushal Shah, Yugyung Lee:
Lung Disease Classification using Deep Convolutional Neural Network. 732-735 - Tuan Tran, Tania Rajpersaud, Chinwe Ekenna:
Predicting the Expression Profile for Plasmodium Falciparum Genes during the Blood Stage Life Cycle. 736-740 - Qingfeng Wang, Jun Huang, Zhiqin Liu, Jie-Zhi Cheng, Ying Zhou, Qiyu Liu, Yaobin Wang, Xuehai Zhou, Chao Wang:
Higher-order Transfer Learning for Pulmonary Nodule Attribute Prediction in Chest CT Images. 741-745 - Lei Wang, Bo Wang, Zhenghua Xu:
Tumor Segmentation Based on Deeply Supervised Multi-Scale U-Net. 746-749 - Polyane Wercelens, Waldeyr Mendes Cordeiro da Silva, Klayton Castro, Aletéia P. F. Araújo, Sérgio Lifschitz, Maristela Holanda:
Data Provenance Management of Bioinformatics Workflows in Federated Clouds. 750-754 - Wuti Xiong, Fei Li, Hong Yu, Donghong Ji:
Extracting Drug-drug Interactions with a Dependency-based Graph Convolution Neural Network. 755-759 - Jianye Zhang, Peng Yin:
Multivariate Time Series Missing Data Imputation Using Recurrent Denoising Autoencoder. 760-764 - Xiaoyu Zhang, Jingqing Zhang, Kai Sun, Xian Yang, Chengliang Dai, Yike Guo:
Integrated Multi-omics Analysis Using Variational Autoencoders: Application to Pan-cancer Classification. 765-769 - Jianhai Zhang, Chongwei Su, Dariusz Zapala, Li Zhu, Gaochao Cui, Wanzeng Kong:
A CNN-based Approach for three-class classification of motor imagery EEG data including 'rest state' in hybrid multi-user BCI. 770-773 - Wenbo Zheng, Chao Gou, Lan Yan:
Forest Representation Learning with Multiscale Contour Feature Learning for Leaf Cultivar Classification. 774-777 - Yuanke Zhong, Jing Li, Jie Liu, Yan Zheng, Xuequn Shang, Jialu Hu:
Deep learning enables accurate alignment of single cell RNA-seq data. 778-781 - Jing Zhu, Zihan Wang, Shuai Zeng, Xiaowei Li, Bin Hu, Xin Zhang, Chen Xia, Lan Zhang, Zhijie Ding:
Toward Depression Recognition Using EEG and Eye Tracking: An Ensemble Classification Model CBEM. 782-786 - Jianjun Zhu, Shuang Song, Shuai Guo, Danni Ai, Jingfan Fan, Hong Song, Ping Liang, Jian Yang:
Monte Carlo Tree Search for 3D/2D Registration of Vessel Graphs. 787-791 - Ankur Agrawal, Kashifuddin Qazi:
A Machine Learning Approach for Quality Assurance of SNOMED CT. 792-798 - Sajjad Fouladvand, Michelle M. Mielke, Maria Vassilaki, Jennifer L. St. Sauver, Ronald C. Petersen, Sunghwan Sohn:
Deep Learning Prediction of Mild Cognitive Impairment using Electronic Health Records. 799-806 - Xinyu Hu, Min Li, Linconghua Wang, Xingyi Li, Fang-Xiang Wu, Jianxin Wang:
Classification of Schizophrenia by Iterative Random Forest Feature Selection Based on DNA Methylation Array Data. 807-811 - Xingyi Li, Ju Xiang, Xinyu Hu, Fang-Xiang Wu, Min Li:
DualRank: multiplex network-based dual ranking for heterogeneous complex disease analysis. 812-817 - Sizhe Li, Jiawei Zhang, Chunyang Ruan, Yanchun Zhang:
Multi-Stage Attention-Unet for Wireless Capsule Endoscopy Image Bleeding Area Segmentation. 818-825 - Shuai Li, Yuting Guo, Wenfeng Song, Zhennan Pang, Aimin Hao, Bo Zhang, Hong Qin:
Fine-Grained Thyroid Nodule Classification via Multi-Semantic Attention Network. 826-833 - Jinduo Liu, Junzhong Ji, Liuyi Yao, Aidong Zhang:
Estimating Brain Effective Connectivity in fMRI data by Non-stationary Dynamic Bayesian Networks. 834-839 - Jin-Xiong Lv, Shikui Tu, Lei Xu:
A two-variate phenotype-targeted test for detection of phenotypic biomarkers on breast cancer. 840-845 - Zhilong Lv, Rui Yan, Xinyu Liu, Zhongke Wu, Yicheng Zhu, Shiwei Sun, Fa Zhang, Xingce Wang, Xiaohua Wan:
Cerebrovascular Segmentation Algorithm Based on Focused Multi-Gaussians Model and Weighted 3D Markov Random Field. 846-851 - Vineetha Menon, Shantia Yarahmadian:
Wavelet-Based Compression and Estimation of the $N$-State Stochastic Microtubule Signal. 852-858 - Viswam Nathan, Md. Mahbubur Rahman, Korosh Vatanparvar, Ebrahim Nemati, Erin Blackstock, Jilong Kuang:
Extraction of Voice Parameters from Continuous Running Speech for Pulmonary Disease Monitoring. 859-864 - Jiangyue Tang, Ziyu Gan, Xuan Yang:
Cardiac Motion Tracking in Short-axis MRI using Siamese Convolution Network. 865-870 - Jianrong Wang, Ruixuan Zhang, Xi Wei, Xuewei Li, Mei Yu, Jialin Zhu, Jie Gao, Zhiqiang Liu, Ruiguo Yu:
An Attention-based Semi-supervised Neural Network for Thyroid Nodules Segmentation. 871-876 - Ke Wang, Guangyu Wang, Ning Chen, Ting Chen:
How Robust is Your Automatic Diagnosis Model? 877-884 - Lulu Wang, Jinglong Du, Ali Gholipour, Zhongshi He, Yuanyuan Jia:
Brain MRI Super-resolution Reconstruction using a Multi-level and Parallel Conv-Deconv Network. 885-891 - Kui Xue, Yangming Zhou, Zhiyuan Ma, Tong Ruan, Huanhuan Zhang, Ping He:
Fine-tuning BERT for Joint Entity and Relation Extraction in Chinese Medical Text. 892-897 - Genshen Yan, Shen Liang, Yanchun Zhang, Fan Liu:
Fusing Transformer Model with Temporal Features for ECG Heartbeat Classification. 898-905 - Fan Yang, Zhongping Yu, Yunfan Liang, Xiaolu Gan, Kaibiao Lin, Quan Zou, Yifeng Zeng:
Grouped Correlational Generative Adversarial Networks for Discrete Electronic Health Records. 906-913 - Pengshuai Yang, Yupeng Zhai, Lin Li, Hairong Lv, Jigang Wang, Chengzhan Zhu, Rui Jiang:
Liver Histopathological Image Retrieval Based on Deep Metric Learning. 914-919 - Hong Zhang, Fa Zhang, Fei Ren, Zhonglie Wang, Xiaosong Rao, Li Li, Junbo Hao, Rui Yan, Jiancheng Luo, Ming Du:
Predicting Tumor Mutational Burden from Liver Cancer Pathological Images Using Convolutional Neural Network. 920-925 - Abdullah Baihan, Sanguthevar Rajasekaran:
Efficient Sequential and Parallel Algorithms for Incremental Record Linkage Using Complete Linkage Clustering. 926-930 - Zhangxing Bian, Siyu Xia, Chao Xia, Ming Shao:
Weakly Supervised Vitiligo Segmentation in Skin Image through Saliency Propagation. 931-934 - Dibyajyoti Das, Sowmya Ramaswamy Krishnan, Gopalakrishnan Bulusu, Arijit Roy:
Computational predictions of host-pathogen interactions using domain and sequence signature. 935-938 - Gaocai Dong, Ping Zhang, Jingya Yang, Dongdong Zhang, Jing Peng:
A Systematic Framework for Drug Repurposing based on Literature Mining. 939-942 - Daniel Gutstein, Enid Montague, Jacob Furst, Daniela Raicu:
Optical Flow, Positioning, and Eye Coordination: Automating the Annotation of Physician-Patient Interactions. 943-947 - Xiaohong Liu, Guangyu Wang, Yiming Xu, Ning Chen, Ting Chen:
Bone Age Assessment by Deep Convolutional Neural Networks Combined with Clinical TW3-RUS. 948-952 - Weijie Liu, Guangyu Wang, Anpeng Huang, Ping Wang:
NIV-NGM - A Novel Non-invasive Blood Glucose Monitoring Method based on Near-infrared Videos. 953-957 - Nauman Razzaq, Inam Ur Rehman, Tahir Zaidi:
Self Tuned Adaptive Filter for Estimation and Removal of Power Line Interference from Electrocardiogram. 958-961 - Rasoul Sali, Lubaina Ehsan, Kamran Kowsari, Marium N. Khan, Christopher A. Moskaluk, Sana Syed, Donald E. Brown:
CeliacNet: Celiac Disease Severity Diagnosis on Duodenal Histopathological Images Using Deep Residual Networks. 962-967 - Emily Kunce Stroup, Yuan Luo, L. Nelson Sanchez-Pinto:
Phenotyping Multiple Organ Dysfunction Syndrome Using Temporal Trends in Critically Ill Children. 968-972 - Nelson Zange Tsaku, Sai Chandra Kosaraju, Tasmia Aqila, Mohammad Masum, Dae Hyun Song, Ananda Mohan Mondal, Hyun Min Koh, Mingon Kang:
Texture-based Deep Learning for Effective Histopathological Cancer Image Classification. 973-977 - Guangyu Wang, Xiaohong Liu, Ken Xie, Ning Chen, Ting Chen:
DeepTriager: A Neural Attention Model for Emergency Triage with Electronic Health Records. 978-982 - Weidi Wang, Yu Fang, Xue Jiang, Wu Huang, Zhen Wang, Guan Ning Lin:
Varying Mutational Classes Illuminate Differential Genetic Patterns Between Schizophrenia and Bipolar Disorder. 983-986 - Zichang Wang, Haoran Li, Luchen Liu, Haoxian Wu, Ming Zhang:
Predictive Multi-level Patient Representations from Electronic Health Records. 987-990 - Xinyuan Wang, Jiangtao Ren:
Semi-supervised learning for classification on Chinese drug treatment questions. 991-994 - Heming Yao, Keith D. Aaronson, Lu Lu, Jonathan Gryak, Kayvan Najarian, Jessica R. Golbus:
Using a Fuzzy Neural Network in Clinical Decision Support for Patients with Advanced Heart Failure. 995-999 - Ying Yu, Min Li, Liangliang Liu, Fang-Xiang Wu, Jianxin Wang:
Tentative diagnosis prediction via deep understanding of patient narratives. 1000-1003 - Zhikun Zhang, Chunlei Tang, Joseph M. Plasek, Yun Xiong, Min-Jeoung Kang, Patricia C. Dykes, David W. Bates, Li Zhou:
Data Reconstruction Based on Temporal Expressions in Clinical Notes. 1004-1008 - Zhichang Zhang, Ruifang Zhang:
Combined Self-attention Mechanism For Biomedical Event Trigger Identification. 1009-1012 - Yu Zhang, Xiaoqin Wang, Hunter Blanton, Gongbo Liang, Xin Xing, Nathan Jacobs:
2D Convolutional Neural Networks for 3D Digital Breast Tomosynthesis Classification. 1013-1017 - Xiaobo Zhang, Yan Yang, Hao Wang, Shangming Ning, Heng Wang:
Deep Neural Networks with Broad Views for Parkinson's Disease Screening. 1018-1022 - Yuan An, Siling Chen, Nicholas Locantore, Matthew Allinder, Divya Mohan, Russell Bowler:
The Utility of Shapelets for Analyzing Physical Activity of COPD Patients and non-COPD controls. 1023-1030 - Jianhong Cheng, Jin Liu, Liangliang Liu, Yi Pan, Jianxin Wang:
Multi-level Glioma Segmentation using 3D U-Net Combined Attention Mechanism with Atrous Convolution. 1031-1036 - Xing Hu, Shaoliang Peng, Chengnian Long, Hongbo Jiang, Lijun Wei:
vGuard: A Spatiotemporal Efficiency Supervision Method For Vaccine Production Based On Double-level Blockchain. 1037-1042 - Omar A. Ibrahim, James Keller, Mihail Popescu:
An Unsupervised Framework for Detecting Early Signs of Illness in Eldercare. 1043-1050 - Zoë Moore, Carter Sifferman, Shaniah Tullis, Mengxuan Ma, Rachel Proffitt, Marjorie Skubic:
Depth Sensor-Based In-Home Daily Activity Recognition and Assessment System for Stroke Rehabilitation. 1051-1056 - Xiao Shou, Georgios Mavroudeas, Alexander New, Kofi Arhin, Jason Nicholas Kuruzovich, Malik Magdon-Ismail, Kristin P. Bennett:
Supervised Mixture Models for Population Health. 1057-1064 - Lu Wang, Ming Dong, Elizabeth Towner, Dongxiao Zhu:
Prioritization of Multi-Level Risk Factors for Obesity. 1065-1072 - Stéphane Deparis, Pierpaolo Tommasi, Alessandra Pascale, Hicham Rifai, Julie Doyle, John Dinsmore:
Building a Risk Model for the Patient-centred Care of Multiple Chronic Diseases. 1078-1082 - Cheng Jiang, Jie Cao, Craig A. Williamson, Negar Farzaneh, Venkatakrishna Rajajee, Jonathan Gryak, Kayvan Najarian, S. M. Reza Soroushmehr:
Midline Shift vs. Mid-Surface Shift: Correlation with Outcome of Traumatic Brain Injuries. 1083-1086 - Ah Ra Lee, Min-Gyu Kim, Il Kon Kim:
SHAREChain: Healthcare data sharing framework using Blockchain-registry and FHIR. 1087-1090 - Ruican Li, Hui Li, Wei Guo, Lizhen Cui:
Biclustering-sim: A Novel Method to Identify Abnormal Co-occurrence Medical Visit Behaviors. 1091-1095 - Zhaohui Liang, Jun Liu, Honglai Zhang, Jimmy Xiangji Huang, Ziping Li, Stephen Chan:
Patient Entity Recognition by Automatic EHR Context Understanding and Deep Learning. 1096-1099 - Syed Ashiqur Rahman, Donald A. Adjeroh:
Estimating Biological Age from Physical Activity using Deep Learning with 3D CNN. 1100-1103 - Yongjian Ren, Kun Zhang, Yuliang Shi:
Survival Prediction from Longitudinal Health Insurance Data using Graph Pattern Mining. 1104-1108 - Rishi Saripalle:
Representing UMLS knowledge using FHIR Terminological Resources. 1109-1112 - Ying Wang, Xiao Xu, Tao Jin, Xiang Li, Guotong Xie, Jianmin Wang:
Inpatient2Vec: Medical Representation Learning for Inpatients. 1113-1117 - Bei Zhao, Yuliang Shi, Kun Zhang, Zhongmin Yan:
Health Insurance Anomaly Detection Based on Dynamic Heterogeneous Information Network. 1118-1122 - Ying Gao, Yin Zhao, Xiongwen Luo, Xiping Hu, Changhong Liang:
Dense Encoder-Decoder Network based on Two-Level Context Enhanced Residual Attention Mechanism for Segmentation of Breast Tumors in Magnetic Resonance Imaging. 1123-1129 - Xin-Rong Gong, Jian-Xiu Jin, Tong Zhang:
Sentiment Analysis Using Autoregressive Language Modeling and Broad Learning System. 1130-1134 - Yun Su, Yongqiang Dai, Xiaohong Li:
Logical Model and Verification of Emotion Triggers for BDI Agents. 1135-1140 - Yang Yang, Xiangwei Zheng, Cun Ji:
Disease Prediction Model Based on BiLSTM and Attention Mechanism. 1141-1148 - Choujun Zhan, Benjamin Yee Shing Li, Quansi Wen, Ying Gao, Tianyong Hao:
Indefinite Kernels in One-Class Support Vector Machine and its Application on Virtual Screening. 1149-1155 - Xiaowei Zhang, Wenbin Liang, Tingzhen Ding, Jing Pan, Jian Shen, Xiao Huang, Jin Gao:
Individual Similarity Guided Transfer Modeling for EEG-based Emotion Recognition. 1156-1161 - Weihao Zheng, Tingting Liu, Haotian Li, Dan Wu:
Topological Characterization of the Multi-feature based Network in Patients with Alzheimer's Disease and Mild Cognitive Impairment. 1162-1167 - Tinghao Zhu, Jinfei Zhou, Le Zhang, Yang Cao:
Computational Methods for scRNA-seq Analysis at Cell Level. 1168-1173 - Mohammad Alodadi, Vandana P. Janeja:
Linking Knowledge Discovery In Clinical Notes And Massive Biomedical Literature Repositories. 1174-1176 - Muhammad Amith, Licong Cui, Kirk Roberts, Hua Xu, Cui Tao:
Ontology of Consumer Health Vocabulary: providing a formal and interoperable semantic resource for linking lay language and medical terminology. 1177-1178 - Jooyoung Chang, Joo Young Shin, Taehoon Ko, Jinho Lee, Baek-Lok Oh, Ki Ho Park, Ahryoung Ko, Sang Min Park, Seulggie Choi, Kyuwoong Kim, Sung Min Kim, Jae Moon Yun, Uk Kang, Il Hyung Shin:
Association of DeepLearning-Based Fundus Age Difference with Carotid Atherosclerosis and Mortality. 1179-1181 - Xiaolong Chen, Hansell Perez, Melissa Spence, Roummel F. Marcia, Suzanne Sindi:
Fine Tuning Sparsity Penalties to Improve Structural Variant Detection. 1182-1184 - Yaodong Du, Ming Zhang, Garrett Stonis, Juan Shan:
Topological Data Analysis on Magnetic Resonance Image Biomarkers. 1185-1187 - Itika Gupta, Barbara Di Eugenio, Brian D. Ziebart, Bing Liu, Ben S. Gerber, Lisa K. Sharp:
Modeling Health Coaching Dialogues for Behavioral Goal Extraction. 1188-1190 - Fei He, Duolin Wang, Yulia Innokenteva, Olha Kholod, Dmitriy Shin, Dong Xu:
Extracting Molecular Entities and Their Interactions from Pathway Figures Based on Deep Learning. 1191-1193 - Haigen Hu, Chao Du, Qiu Guan, Qianwei Zhou, Pierre Vera, Su Ruan:
A Background-based Data Enhancement Method for Lymphoma Segmentation in 3D PET Images. 1194-1196 - Haigen Hu, Yixing Zheng, Qianwei Zhou, Jie Xiao, Shengyong Chen, Qiu Guan:
MC-Unet: Multi-scale Convolution Unet for Bladder Cancer Cell Segmentation in Phase-Contrast Microscopy Images. 1197-1199 - Jaehee Jung, Gangman Yi:
A computational model based on long short-term memory for predicting organellar genes in plastid genomes. 1200-1202 - Ki-Yeol Kim:
Consensus gene modules identification of cervical cancer and head neck cancer. 1203-1207 - Younghoon Kim, Junehawk Lee, Kyungsoo Ha, Won-Kyu Lee, Deok Rim Heo, Ju Rang Woo, Seok Jong Yu:
A computational framework for deep learning-based epitope prediction by using structure and sequence information. 1208-1210 - Yonggab Kim, Md. Kamruzzaman, Yeni Lim, Oran Kwon, Taesung Park:
Comparison of Statistical Models for Cross-over design. 1211-1213 - Maria Kovacova, Viktor Hlavac, Veronika Brynychova, Radka Vaclavikova, Pavel Soucek:
Gene-based evidence for burden of rare pathogenic variants in pharmacogenes and oncogens of Czech breast cancer patients. 1214-1216 - Jiaxu Leng, Zhenyu Cui, Chao Xiang, Tianlin Zhang, Pei Quan:
A Novel Neuron Connection Model Mimicking Human Beings. 1217-1219 - Xin Li, Xiaoqing Lyu, Zhi Tang, Hao Zhang:
Chemical Similarity Based on Map Edit Distance. 1220-1222 - Hafez Eslami Manoochehri, Arvind Pillai, Mehrdad Nourani:
Graph Convolutional Networks for Predicting Drug-Protein Interactions. 1223-1225 - Preston Mar, Wooyoung Kim:
NemoMapPy: Motif-centric network motif search on a web. 1226-1228 - Naoki Osato, Hironori Shigeta, Shigeto Seno, Yutaka Uchida, Junichi Kikuta, Masaru Ishii, Hideo Matsuda:
Single-cell Transcriptome Analysis of Mouse Leukocytes in Inflammatory Stimulation. 1229-1231 - Santisudha Panigrahi, Tripti Swarnkar:
Automated Classification of Oral Cancer Histopathology images using Convolutional Neural Network. 1232-1234 - Jung Woo Park, Sung-Wha Hong:
Ligand- and Structure-based Virtual Screening Studies for the Discovery of Selective Inhibitors. 1235-1236 - Yafeng Ren, Hao Fei, Donghong Ji:
Drug-Drug Interaction Extraction Using a Span-based Neural Network Model. 1237-1239 - Robert Schuler, Alejandro Bugacov, Matthew Blow, Carl Kesselman:
Toward FAIR Knowledge Turns in Bioinformatics. 1240-1242 - Christin Scott, Ling-Hong Hung, Wes Lloyd, Ka Yee Yeung:
Using BioDepot-workflow-builder to Access Public Databases in a Containerized Environment. 1243 - Alec M. Steele, Mehrdad Nourani, Melinda M. Bopp, Tanya S. Taylor, Dennis H. Sullivan:
Patient Activity Monitoring Based on Real-Time Location Data. 1244-1246 - Alec M. Steele, Zihang You, Mehrdad Nourani, Melinda M. Bopp, Tanya S. Taylor, Dennis H. Sullivan:
Quantifying Human Activity Using Head Tracking. 1247-1249 - Bei Wang, Xiaoqing Lyu, Zhi Tang, Yifan Wang:
Comparison of Molecule Graph Representation with Similarity Consistency. 1250-1252 - Bei Wang, Xiaoqing Lyu, Jingwei Qu, Haowen Sun, Zehua Pan, Zhi Tang:
GNDD: A Graph Neural Network-Based Method for Drug-Disease Association Prediction. 1253-1255 - Tingting Wang, Lei Duan, Chengxin He, Geng Deng, Ruiqi Qin, Yidan Zhang:
ATOM: Construction of Anti-tumor Biomaterial Knowledge Graph by Biomedicine Literature. 1256-1258 - Kyung Jae Won, Ah Ra Lee, Eunjoo Lee, Il Kon Kim:
Fast Healthcare Interoperability Resources Profiling of Korea Frailty and Aging Cohort Study Questionnaire. 1259-1261 - Yan Wang, Jun Cheng, Wenjuan Xiong, Yao Huang, Wei Li, Jianchao Chen:
Drug mining based on association rules for post-stroke depression. 1262-1264 - Zuoyu Yan, Liangcai Gao, Zhi Tang, Xinpeng Zhang:
A non-local based segmentation method for Pelvic MR Images. 1265-1267 - Karitta Zellerbach, Carolina Ruiz:
Machine Learning to Predict Overeating from Macronutrient Composition. 1268-1270 - Guang Zheng, Chengjie Hu, Hongtao Guo, Cheng Lv:
Healing Functions of Carthami Flos against Contusion and Other Potential Damages. 1271-1273 - Abdulrhman Aljouie, Usman Roshan:
Multi-path convolutional neural network for glioblastoma survival group prediction with point mutations and demographic features. 1274-1279 - Hayda Almeida, Adrian Tsang, Abdoulaye Baniré Diallo:
Supporting supervised learning in fungal Biosynthetic Gene Cluster discovery: new benchmark datasets. 1280-1287 - CScott Brown, Ryan G. Benton:
Local Gaussian Process Features for Clinical Sensor Time Series. 1288-1295 - Guitao Cao, Yunming Tang, Jiyu Sheng, Wenming Cao:
Emotion Recognition from Children Speech Signals Using Attention Based Time Series Deep Learning. 1296-1300 - Chao Cong, Yoko Kato, Henrique Doria Vasconcellos, Joao A. C. Lima, Bharath A. Venkatesh:
Automated Stenosis Detection and Classification in X-ray Angiography Using Deep Neural Network. 1301-1308 - Aleeha Iftikhar, Raymond R. Bond, Victoria McGilligan, Khaled Rjoob, Stephen J. Leslie, Charles Knoery, Anne McShane, Aaron J. Peace:
Unsupervised Machine Learning Elicits Patient Archetypes in a Primary Percutaneous Coronary Intervention Service. 1309-1314 - Aleeha Iftikhar, Raymond R. Bond, Victoria McGilligan, Khaled Rjoob, Charles Knoery, Stephen J. Leslie, Anne McShane, Aaron J. Peace:
Predicting 30 days Mortality in STEMI Patients using Patient Referral Data to a Primary Percutaneous Coronary Intervention Service. 1315-1317 - Jing Yang, Anbo Shen, Kui Yu, Yu Chen:
Predicting the Semantic Characteristics of Pulmonary Nodules using Feature Selection Based on Maximum-relevance Minimum-redundancy. 1318-1323 - Cory Kromer-Edwards, Jace Neubaum, Suely Oliveira, Caitlin Smith, Evan Walser-Kuntz, Andrew West:
Identifying Beta-Lactam Resistance with Neural Networks. 1324-1330 - Jongseo Lee, Kyoohyoung Rho, Kyu H. Park, Jae-Seok Kim, Sue Shin, Taek Soo Kim, Songkuk Kim:
Utilizing Negative Markers for Identifying Mycobacteria Species based on Mass Spectrometry with Machine Learning Methods. 1331-1337 - Yan Li, Guitao Cao, Wenming Cao:
Stacking-based deep neural network for Facial Expression Recognition. 1338-1342 - Chunyang Niu, Xiang Li, Zhigang Zhao, Jidong Huo:
A Generalized Densely Connected Encoder-Decoder Network for epithelial and stromal regions segmentation in histopathological images. 1343-1349 - Javier Pastorino, Ashis Kumer Biswas:
TexAnASD: Text Analytics for ASD Risk Gene Predictions. 1350-1357 - Baolian Qi, Xiaolin Qin, Jia Liu, Yang Xu, Yuwen Chen:
A Deep Architecture for Surgical Workflow Recognition with Edge Information. 1358-1364 - Shiquan Sun, Yang Liu, Xuequn Shang:
Deep generative autoencoder for low-dimensional embeding extraction from single-cell RNAseq data. 1365-1372 - Sarath Swaminathan, Dmitry Yu. Zubarev, Mark Kunitomi:
A recommender system for antimicrobial resistance. 1373-1379 - Ahmad P. Tafti, Sunyang Fu, Aditya Khurana, George M. Mastorakos, Kenneth G. Poole, Stephen J. Traub, James A. Yiannias, Hongfang Liu:
Artificial intelligence to organize patient portal messages: a journey from an ensemble deep learning text classification to rule-based named entity recognition. 1380-1387 - Xuwen Wang, Xiaoyan Zhu, Xiao Xiao, Shenjie Wang, Xuanping Zhang, Xin Lai, Jiayin Wang:
FilterLAP: Filtering False-positive Mutation Calls via a Label Propagation Framework. 1388-1395 - Kun Wang, Xiaohong Zhang, Sheng Huang:
KGZNet: Knowledge-Guided Deep Zoom Neural Networks for Thoracic Disease Classification. 1396-1401 - Mengdi Yan, Hansheng Li, Baosheng Kang, Jun Feng, Yuxin Kang, Tao Zhang, Lin Yang, Lei Cui:
$S^{3}$ Net: Trained on a Small Sample Segmentation Network for Biomedical Image Analysis. 1402-1408 - Huiru Zeng, Xiaohua Hu, Leiting Chen, Chuan Zhou, Yang Wen:
Weakly Supervised Learning of Recurrent Residual ConvNets for Pancreas Segmentation in CT Scans. 1409-1415 - Ahmed Awad Albishri, Syed Jawad Hussain Shah, Yugyung Lee:
CU-Net: Cascaded U-Net Model for Automated Liver and Lesion Segmentation and Summarization. 1416-1423 - Sadiq Al-Insaif, Jochen Lang:
Shearlet-Based Techniques for Histological Image Classification. 1424-1431 - Liangming Cai, Rituparna Datta, Jingshan Huang, Shuai Dong, Min Du:
Sleep Disorder Data Stream Classification Based on Classifiers Ensemble and Active Learning. 1432-1435 - Peng Cao, Shanshan Tang, Min Huang, Jinzhu Yang, Dazhe Zhao, Amine Trabelsi, Osmar R. Zaïane:
An ensemble framework with $l_{21}$-norm regularized hypergraph laplacian multi-label learning for clinical data prediction. 1436-1442 - Attawit Chaiyaroj, Panyawut Sri-Iesaranusorn, Chatchai Buekban, Songphon Dumnin, Chusak Thanawattano, Decho Surangsrirat:
Deep Neural Network Approach for Hand, Wrist, Grasping and Functional Movements Classification using Low-cost sEMG Sensors. 1443-1448 - Chulan Chen, Peihui Wu, Linli Zheng, Yuanping Liu, Xiaoyan Zhang, Yukai Song:
A Modular Software System for 3D Measurement of Acetabulum in Arthritic Dysplasia Hips. 1449-1456 - Sirui Ding, Zhiyong Yuan, Panfeng An, Guotong Xue, Wenxiang Sun, Jianhui Zhao:
Cascaded Convolutional Neural Network with Attention Mechanism for Mobile EEG-based Driver Drowsiness Detection System. 1457-1464 - Raphael Henshaw Ekpo, Ifeoma Patricia Osamor, Victor Chukwudi Osamor, Theresa Nkechi Abiodun, Austin Olushola Omoremi, Mba O. Odim, Oluwasegun Oladipo:
Understanding E-health Application Utilizing Internet of Things (IoT) Technologies. 1465-1469 - Zhiqi Fan, Bin Wu, Junle Qu, Min Pan, Simin Liang, Binmu Xin, Yongzhen Li, Yanwu Chen, Guodong Yan:
Research progress of electroacupuncture against orthostatic intolerance of post-spaceflight. 1470-1473 - Keling Fei, Kezhen Fei, Dehui Xiang, Shusen Tang, Wei Wang, Xu Wang:
Automatic Detection of Conversion Blindness on Functional Brain Network Information. 1474-1480 - Pericles S. Giannaris, Zainab Al-Taie, Mikhail Kovalenko, Richard D. Hammer, Mihail Popescu, Dmitriy Shin:
Informatics Framework to Identify Consistent Diagnostic Techniques. 1481-1486 - Raxit Goswami, Vatsal Shah, Nehal Shah, Chetan Moradiya:
Ontological Approach for Knowledge Extraction from Clinical Documents. 1487-1491 - Shuning He, Haiwei Pan, Shengnan Zhao, Chunling Chen, Xiaofei Bian:
A Crowdsourcing-based Medical Image Classification Method. 1492-1499 - Jieying Hu, Ming Huang, Naoaki Ono, Ye Chen-Izu, Leighton T. Izu, Shigehiko Kanaya:
Cardiotoxicity Prediction Based on Integreted hERG Database with Molecular Convolution Model. 1500-1503 - Mohan Vamsi Kasukurthi, Shengyu Li, Glen M. Borchert, Jingshan Huang, Dihua Zhang, Mika Housevera, Yulong Huang, Shaobo Tan, Bin Ma, Dongqi Li, Ryan Benton, Jingwei Lin:
SURFr: Algorithm for identification and analysis of ncRNA-derived RNAs. 1504-1507 - Hamidreza Khodajou-Chokami, Dmitry V. Dylov:
Data Fusion Approach for Constructing Unsupervised Augmented Voxel-Based Statistical Anthropomorphic Phantoms. 1508-1512 - Ji Woong Kim, Ah Ra Lee, Min-Gyu Kim, Il Kon Kim, Eunjoo Lee:
Patient-centric medication history recording system using blockchain. 1513-1517 - Eva K. Lee, Karan Uppal, Siawpeng Er:
SEACOIN2.0: an interactive mining and visualization tool for information retrieval, summarization and knowledge discovery. 1518-1525 - Jian Li, Shaobo Tan, Bin Ma, Meihong Yang, Jingshan Huang, Zelin Zhang, Shengyu Li, Ryan Benton, Yulong Huang, Mohan Vamsi Kasukurthi, Dongqi Li, Jingwei Lin, Glen M. Borchert:
Reversible Data Hiding Based Key Region Protection Method in Medical Images. 1526-1530 - Xuemeng Li, Jinghui Yu, Jiangyu Li, Mei Li, Dongsheng Zhao:
Simulating the Risk of Stroke in China Using Markov Model Based on National Screening Data. 1531-1535 - Jiaqi Li, Haiming Lu, Xiang Fang, Sijie Chen, Xuegong Zhang:
Pixel-Level Clustering Reveals Intra-Tumor Heterogeneity in Non-Small Cell Lung Cancer. 1536-1539 - Daowen Liu, Zhiyuan Ma, Yangming Zhou, Jie Zhai, Tingting Cai, Kui Xue, Ping He:
Intelligent Hospital Guidance System based on Multi-Round Conversation. 1540-1543 - Juan Antonio Lossio-Ventura, Juandiego Morzan, Hugo Alatrista-Salas, Tina Hernandez-Boussard, Jiang Bian:
Clustering and topic modeling over tweets: A comparison over a health dataset. 1544-1547 - Juan Antonio Lossio-Ventura, Sebastien Boussard, Juandiego Morzan, Tina Hernandez-Boussard:
Clinical named-entity recognition: A short comparison. 1548-1550 - Guoting Luo, Zhiqin Liu, Qingfeng Wang, Qiyu Liu, Ying Zhou, Weiyun Xu, Jun Huang, Jie Fu, Jie-Zhi Cheng:
Fully Convolutional Multi-Scale ScSE-DenseNet for Automatic Pneumothorax Segmentation in Chest Radiographs. 1551-1555 - Bin Ma, Shaobo Tan, Meihong Yang, Jingshan Huang, Zhaolong Wu, Shengyu Li, Ryan Benton, Dongqi Li, Yulong Huang, Mohan Vamsi Kasukurthi, Jingwei Lin, Glen M. Borchert:
A SVM-Based Algorithm to Diagnose Sleep Apnea. 1556-1560 - Sam Mansfield, Sachin Rangarajan, Katia Obraczka, Hanmin Lee, David Young, Shuvo Roy:
Objective Pressure Injury Risk Assessment Using A Wearable Pressure Sensor. 1561-1568 - Devaun McFarland, Caroline Bullock, Homayoun Valafar:
Evaluating Precisicon and Recall through the Utility of msTALI via an Active Site Study on Fold Families. 1569-1572 - Jonathan Mitchel, Kevin Chatlin, Li Tong, May D. Wang:
A Translational Pipeline for Overall Survival Prediction of Breast Cancer Patients by Decision-Level Integration of Multi-Omics Data. 1573-1580 - Jianfei Pang, Haifeng Xu, Shan Nan, Shubo Xu, Me Li, Dongsheng Zhao:
A Mobile Intelligent Checklist System for Stroke Emergency. 1581-1584 - Jose Alberto Souza Paulino, Alanne Vandreia da Silva Alves, Robson Pequeno de Sousa, Katia Elizabete Galdino, Pollianna Muniz Alves, Eduardo Jorge Valadares Oliveira:
The use of hybrid classifier to assist in the diagnosis of lip lesions in thermal images: a preliminary study. 1585-1588 - Riyi Qiu, Vasu Kodali, Mark Homer, Andrew Heath, Zhaoqi Wu, Yugang Jia:
Predictive Modeling of Depression with a Large Claim Dataset. 1589-1595 - Jiahui Qiu, Yangming Zhou, Zhiyuan Ma, Tong Ruan, Jinlin Liu, Jing Sun:
Question Answering based Clinical Text Structuring Using Pre-trained Language Model. 1596-1600 - Ivan Rodin, Irina Fedulova, Artem Shelmanov, Dmitry V. Dylov:
Multitask and Multimodal Neural Network Model for Interpretable Analysis of X-ray Images. 1601-1604 - Mahsa Rouzbahman, Lu Wang, Mark H. Chignell, Leon Zucherman, Nipon Charoenkitkarn, Lisa Barbera:
Predicting Emergency Department Visits Based on Cancer Patient Types. 1605-1612 - Mahsa Rouzbahman, Lu Wang, Mark H. Chignell, Leon Zucherman, Nipon Charoenkitkarn, Lisa Barbera:
Tuning a Cancer Patient Typology Based on Emergency Department Visits. 1613-1619 - Kazuhiro Seki, Michael Segundo Ortiz, Javed Mostafa:
Effectiveness and Efficiency for Document Clustering in Biomedicine. 1620-1623 - Surya Sharma, Adam W. Hoover:
A Study on Linear Acceleration of the Wrist During Free-Living. 1624-1628 - Ying Sheng, Shaofu Lin, Jiangfan Gao, Xiaobo He, Jianhui Chen:
Research Sharing-Oriented Functional Neuroimaging Named Entity Recognition. 1629-1632 - Rongyi Sun, Rachneet Kaur, Liran Ziegelman, Shuo Yang, Richard B. Sowers, Manuel E. Hernandez:
Using Virtual Reality to Examine the Correlation between Balance Function and Anxiety in Stance. 1633-1640 - Wenjun Tan, Pan Liu, Hui Guo, Jinzhu Yang, Xiaoxia Yin, Yanchun Zhang:
A Review of Intelligent Image Processing Method of Pulmonary CT Images. 1641-1648 - Wenjun Tan, Yao Liu, Huangying Liu, Jinzhu Yang, Xiaoxia Yin, Yanchun Zhang:
A Segmentation Method of Lung Parenchyma From Chest CT Images Based on Dual U-Net. 1649-1656 - Yogatheesan Varatharajah, Krishnakant V. Saboo, Ravishankar K. Iyer, Scott A. Przybelski, Christopher G. Schwarz, Ronald C. Petersen, Clifford R. Jack, Prashanthi Vemuri:
A Joint Model for Predicting Structural and Functional Brain Health in Elderly Individuals. 1657-1664 - Matthew Velazquez, Rajaram Anantharaman, Salma Velazquez, Yugyung Lee:
RNN-Based Alzheimer's Disease Prediction from Prodromal Stage using Diffusion Tensor Imaging. 1665-1672 - Le Wang, Ze Luo:
Contextualized Relevance Feedback for Precision Medicine. 1673-1680 - Ying Xiong, Buzhou Tang, Qingcai Chen, Xiaolong Wang, Jun Yan:
A Study on Automatic Generation of Chinese Discharge Summary. 1681-1687 - Haifeng Xu, Jianfei Pang, Xi Yang, Jinghui Yu, Dongsheng Zhao:
A modeling approach based on multi-perspective declarative process mining for clinical activity. 1688-1691 - Ekin Yagis, Alba Garcia Seco de Herrera, Luca Citi:
Generalization Performance of Deep Learning Models in Neurodegenerative Disease Classification. 1692-1698 - Guanyi Yang, Ryan Benton, Glen M. Borchert, Bin Ma, Jingshan Huang, Xiuyu Leng, Fangwan Huang, Mohan Vamsi Kasukurthi, Yulong Huang, Dongqi Li, Jingwei Lin, Shaobo Tan, Guiying Lu:
Use CPET data to predict the intervention effect of aerobic exercise on young hypertensive patients. 1699-1702 - Pete Yeh, Yiheng Pan, L. Nelson Sanchez-Pinto, Yuan Luo:
Using Machine Learning to Predict Hyperchloremia in Critically Ill Patients. 1703-1707 - Saman Zeeshan, Zeeshan Ahmed:
PAS-MUT with Somatic Mutations in Cancer and Classified Diseases for Clinical-Genomics Research: PAS-MUT & Somatic Mutations. 1708-1715 - Liang Zhao, Zhiyuan Ma, Yangming Zhou, Kai Wang, Shengping Liu, Ju Gao, Wen Du:
CBOWRA: A Representation Learning Approach for Medication Anomaly Detection. 1716-1723 - Hongtao Guo, Guang Zheng:
Mechanisms of Atractylodis Macrocephalae Rhizoma against Chronic Gastritis. 1724-1728 - Dreycey Albin, Pravin Muthu, Gene Godbold, Mikael Lindvall, Madeline Diep, Adam A. Porter, Mihai Pop, Krista Ternus, Todd J. Treangen, Dan Nasko, Ryan A. Leo Elworth, Jacob Lu, Advait Balaji, Christian Diaz, Nidhi Shah, Jeremy D. Selengut, Chris Hulme-Lowe:
SeqScreen: a biocuration platform for robust taxonomic and biological process characterization of nucleic acid sequences of interest. 1729-1736 - Fatmah Bamashmoos, Theo Tryfonas:
Towards Asthma Self-Management: An Integrated Ontology Model for Asthma Action Plan. 1737-1741 - Syed Ahmad Chan Bukhari, Jeff Mandell, Steven H. Kleinstein, Kei-Hoi Cheung:
A linked data graph approach to integration of immunological data. 1742-1749 - Dehua Chen, Ying Mao, Jinqiao Zhou:
Constructing Medical Image Domain Ontology with Anatomical Knowledge. 1750-1757 - Yongzhuang Liu, Jian Liu, Yadong Wang:
DNMFilter_Indel: Filtering de novo Indels in Parent-Offspring Trios. 1758-1761 - Leilei Liu, Yi Ma, Xianglei Zhu, Yaodong Yang, Xiaotian Hao, Li Wang, Jiajie Peng:
Integrating Sequence and Network Information to Enhance Protein-Protein Interaction Prediction Using Graph Convolutional Networks. 1762-1768 - Jiajie Peng, Lu Han, Xuequn Shang:
A deconvolution method for predicting cell abundance based on single cell RNA-seq data. 1769-1773 - Wei Quan, Bo Liu, Yadong Wang:
SALT: a fast, memory-efficient and SNP-aware short read alignment tool. 1774-1779 - Tao Wang, Junpeng Ruan, Quanwei Yin, Xianjun Dong, Yadong Wang:
An automated quality control pipeline for eQTL analysis with RNA-seq data. 1780-1786 - Zuheng Xia, Xiaoke Ma:
Transfer Learning for Gene Prioritization. 1787-1791 - Ruiyu Xiao, Guoshan Lu, Shuilin Jin:
NDRindex: A method for the quality assessment of single-cell RNA-Seq preprocessing data. 1792-1800 - Rui Xing, Jie Luo, Tengwei Song:
BioRel: A Large-Scale Dataset for Biomedical Relation Extraction. 1801-1808 - Huijuan Xu, Hairong Wang:
Identifying diseases that cause psychological trauma and social avoidance by Xgboost. 1809-1813 - Ningyi Zhang, Yang Hu:
PAGWAS: a manually curated web-based knowledge database of GWAS pathway analysis. 1814-1821 - Tianyi Zhao, Cheng Liang, Tianyi Zang, Yang Hu:
Identification of anticancer peptides based on Random Relevance Vector Machines. 1822-1827 - Xiaoshi Zhong, Jagath C. Rajapakse:
Predicting Missing and Spurious Protein-Protein Interactions Using Graph Embeddings on GO Annotation Graph. 1828-1835 - Guangjie Zhou, Jun Wang, Xiangliang Zhang, Guoxian Yu:
DeepGOA: Predicting Gene Ontology Annotations of Proteins via Graph Convolutional Network. 1836-1841 - Elvismary Molina de Armas, Liester Cruz Castro, Maristela Holanda, Sérgio Lifschitz:
A New Approach for De Bruijn Graph Construction in De Novo Genome Assembling. 1842-1849 - Matthias Becker, Hartmut Schultze, Thomas Ulas, Sharad Singhal, Joachim L. Schultze, Milind Chabbi, Stefanie Warnat-Herresthal, Umesh Worlikar, Shobhit Agrawal, Jaydeep Bhat, Jonas Schulte-Schrepping, Kevin E. Bassler, Patrick Guenther:
Accelerated Genomics Data Processing using Memory-Driven Computing. 1850-1855 - Chih-Hung Chang, Che-Lun Hung, Chuan Yi Tang:
A Review of Deep Learning in Computer-Aided Drug Design. 1856-1861 - Dennis Sávio M. da Silva, Waldeyr M. C. Silva, Guo RuiZhe, Ana Paula Bernardi, Ari Melo Mariano, Maristela Holanda:
Big Data Trends in Bioinformatics. 1862-1867 - Shenjie Wang, Jiayin Wang, Xiao Xiao, Xuanping Zhang, Xuwen Wang, Xiaoyan Zhu, Xin Lai:
GSDcreator: An Efficient and Comprehensive Simulator for Genarating NGS Data with Population Genetic Information. 1868-1875 - Timmy Manning, Miguel Somarriba, Rainer Roehe, Simon Turner, Haiying Wang, Huiru Zheng, Brian Kelly, Jennifer Lynch, Paul Walsh:
Automated Object Tracking for Animal Behaviour Studies. 1876-1883 - Derek Reiman, Yang Dai:
Using Autoencoders for Predicting Latent Microbiome Community Shifts Responding to Dietary Changes. 1884-1891 - James K. Senter, Taylor M. Royalty, Andrew D. Steen, Amir Sadovnik:
Unaligned Sequence Similarity Search Using Deep Learning. 1892-1899 - Jyotsna Talreja Wassan, Huiru Zheng, Haiying Wang, Fiona Browne, Paul Walsh, Timmy Manning, Richard J. Dewhurst, Rainer Roehe:
A Phylogeny-aware Feature Ranking for Classification of Cattle Rumen Microbiome. 1900-1906 - Lucia Williams, Gillian Reynolds, Brendan Mumey:
RNA Transcript Assembly Using Inexact Flows. 1907-1914 - Yaxin Guan, Jingwei Lin, Glen M. Borchert, Bin Wu, Jingshan Huang, Shengting Huang, Mohan Vamsi Kasukurthi, Yulong Huang, Dongqi Li, Shaobo Tan, Sida Wang, Xin Nian:
FGF21 mediates corticosteroid-related bone mass loss through PPAR-$\gamma$. 1915-1919 - Alexander King, Ibrahim Youssef, Anna M. Ritz:
Factors Affecting Network-Based Gene Prediction Across Diverse Diseases. 1920-1927 - Saurav Mallik, Soumita Seth, Tapas Bhadra, Namrata Tomar, Zhongming Zhao:
A Multi-classifier Model to Identify Mitochondrial Respiratory Gene Signatures in Human Cancer. 1928-1935 - Junping Zhan, Guang Zheng:
Anti-rheumatoid Arthritis Mechanisms of Angelicae Pubescentis Radix. 1936-1940 - Melissa D. Clarkson, Steven K. Roggenkamp:
Employing knowledge patterns for auditing the Foundational Model of Anatomy. 1941-1947 - Fengbo Zheng, Rashmie Abeysinghe, Licong Cui:
A Hybrid Method to Detect Missing Hierarchical Relations in NCI Thesaurus. 1948-1953 - Shuxin Zhou, Chuang Chen, Huanying Helen Gu:
Testing and Evaluating SNOMED CT Web Browsers' Textual Search Feature. 1954-1961 - Zeeshan Ahmed, Saman Zeeshan, Bruce T. Liang:
PAS-SNP: iOS App with GWAS SNP-Disease Database for Personalized Genomics Research: PAS-SNP for GWAS SNP-Disease. 1962-1969 - Timothy James Becker, Dong-Guk Shin:
HFM: Hierarchical Feature Moment Extraction for Multi-Omic Data Visualization. 1970-1976 - Ik-Soo Huh, Sunghoon Choi, Youjin Kim, Soo-yeon Park, Oran Kwon, Taesung Park:
Two stage pattern clustering analysis in cross-over experimental design. 1977-1981 - Suhyun Hwangbo, Se Ik Kim, Untack Cho, Yongsang Song, Taesung Park:
Identification of hyperparameters with high effects on performance of deep neural networks: application to clinicopathological data of ovarian cancer. 1982-1987 - Prasoon Joshi, Seokho Jeong, Taesung Park:
Cancer Subtype Classification based on Superlayered Neural Network. 1988-1992 - Sheikh Jubair, Michael Domaratzki:
Ensemble supervised learning for genomic selection. 1993-2000 - SeongRyeol Moon, Junbae Oh, Seungyoon Nam:
Predicting Immune Cell Composition Using Linear Programming. 2001-2004 - Nicola Rohde, Wooyoung Kim:
Benchmarking of Structural Variant Detection Tools for Microorganisms. 2005-2012 - Yifan Zhang, William Yang, Jun S. Liu, Mary Qu Yang:
Characterizing Mutually Exclusive Driver Mutations in Pan-Cancer. 2013-2020 - Feng Ding, Xiangjie Kong, Zhehuan Zhao, Feng Xia, Anfu Liu, Chenxu Bai, Bo Xu, Xiaoxia Liu, Shengtian Sang, Hongfei Lin, Zhihao Yang, Jian Wang:
Disease Gene Prediction Based on Heterogeneous Probabilistic Hypergraph Ranking. 2021-2028 - Somadina Mbadiwe, Jeremy M. Dawson, Donald A. Adjeroh:
Proximity Search Method for Mining Biomedical and Genomic Information. 2029-2035 - Yadong Zhang, Kongfa Hu, Tao Yang:
Mining effect of Famous Chinese Medicine Doctors on Lung-cancer based on Association rules. 2036-2040 - Torin Adamson, Julian Antolin Camarena, Lydia Tapia, Bruna Jacobson:
Optimizing Low Energy Pathways in Receptor-Ligand Binding with Motion Planning. 2041-2048 - Tasmia Aqila, Abdullah Al Mamun, Ananda Mohan Mondal:
Pseudotime Based Discovery of Breast Cancer Heterogeneity. 2049-2054 - Apratim Das, Alex Aravind, Gurbind S. Deo:
Signed Graphlets based Gene Expression Analysis. 2055-2062 - Olha Kholod, Zhen Lyu, Jonathan B. Mitchem, Peter J. Tonellato, Trupti Joshi, Dmitriy Shin:
Mutational Forks: Inferring Deregulated Flow of Signal Transduction Based on Patient-Specific Mutations. 2063-2068 - Sangyeon Lee, Doheon Lee:
Visualizing multifunctional PPI network with Gene Ontology annotation. 2069-2074 - Qianran Li, Dario Ghersi, Ishwor Thapa, Ling Zhang, Hesham Ali, Kate Cooper:
Identifying Structural Changes in Correlation Networks Models of Cancer Gene Expression by Stage. 2075-2082 - Yiping Lin, Shuchao Li, Guoli Ji, Jinting Guan:
Human brain cell type-specific gene co-expression associated with autism spectrum disorder. 2083-2089 - Sawal Maskey, Young-Rae Cho:
Survey of biological network alignment: cross-species analysis of conserved systems. 2090-2096 - Raihanul Bari Tanvir, Ananda Mohan Mondal:
Cancer Biomarker Discovery from Gene Co-expression Networks Using Community Detection Methods. 2097-2104 - Youchuan Wang, Chilukuri K. Mohan:
Gene Regulatory Network Inference with Evolution Strategies and Sparse Matrix Representation. 2105-2112 - Carla Rezende Barbosa Bonin, Marcelo Lobosco, Guilherme Côrtes Fernandes, Reinaldo de Menezes Martins, Luiz Antonio Bastos Camacho, Lícia Maria Henrique da Mota, Sheila Maria Barbosa de Lima, Ana Carolina Campi-Azevedo, Olindo Assis Martins-Filho, Rodrigo Weber dos Santos:
Quantitative Validation of a Yellow Fever Vaccine Model. 2113-2120 - Alessandro Celestini, Marco Cianfriglia, Enrico Mastrostefano, Alessandro Palma, Filippo Castiglione, Paolo Tieri:
Critical nodes reveal peculiar features of human essential genes and protein interactome. 2121-2128 - Sergii Domanskyi, Alex Hakansson, Giovanni Paternostro, Carlo Piermarocchi:
Modeling disease progression in Multiple Myeloma with Hopfield networks and single-cell RNA-seq. 2129-2136 - Marta Gomez-Perosanz, Alvaro Ras-Carmona, Pedro A. Reche:
Prediction of proteasomal cleavage sites using PCPS. 2137-2140 - Brittany R. Hoard:
Predictive Modeling for Geometric Rule-Based Methods. 2141-2148 - Cole A. Lyman, Connor Anderson, Matthew C. Morris, Umesh K. Nandal, Marianna J. Martindale, Mark J. Clement, Gordon Broderick:
When the How Outweighs the What: the Pivotal Importance of Context. 2149-2156 - Giuseppe Alessandro Parasiliti Palumbo, Pietro Biondi, Giuseppe Sgroi, Marzio Pennisi, Giulia Russo, Francesco Pappalardo:
A MapReduce tool for in-depth analysis of KEGG pathways: identification and visualization of therapeutic target candidates. 2157-2162 - Marzio Pennisi, Miguel A. Juárez, Giulia Russo, Marco Viceconti, Francesco Pappalardo:
Generation of digital patients for the simulation of tuberculosis with UISS-TB. 2163-2167 - Simone Pernice, Greta Romano, Giulia Russo, Marco Beccuti, Marzio Pennisi, Francesco Pappalardo:
Exploiting Stochastic Petri Net formalism to capture the Relapsing Remitting Multiple Sclerosis variability under Daclizumab administration. 2168-2175 - Lara Turetta Pompei, Ruy Freitas Reis, Rodrigo Weber dos Santos, Marcelo Lobosco:
Modeling the Increase of Interstitial Pressure During Viral Infections. 2176-2183 - Elvis H. Ribeiro, Alexandre Bittencourt Pigozzo, Carolina R. Xavier, Rodrigo Weber dos Santos, Marcelo Lobosco:
Stochastic Petri Net Models for the Study of Macrophage Reprogramming. 2184-2191 - Bernhard Roither, Chris Oostenbrink, Wolfgang Schreiner:
Molecular dynamics of the immune checkpoint Programmed Cell Death Protein I, PD-1: Conformational changes of the BC-loop upon binding of the ligand PD-L1 and the monoclonal antibody nivolumab. 2192-2196 - Giulia Russo, Francesco Pappalardo, Miguel A. Juárez, Marzio Pennisi, Pere-Joan Cardona, Rhea Coler, Epifanio Fichera, Marco Viceconti:
Evaluation of the efficacy of RUTI and ID93/GLA-SE vaccines in tuberculosis treatment: in silico trial through UISS-TB simulator. 2197-2201 - Valentina Di Salvatore, Fiorenza Gianì, Giulia Russo, Marzio Pennisi, Pasqualino Malandrino, Francesco Frasca, Francesco Pappalardo:
Gene expression and pathway bioinformatics analysis detect a potential predictive value of MAP3K8 in thyroid cancer progression. 2202-2206 - Razin Abdulrauf Shaikh, Jiahui Zhong, Minjie Lyu, Sen Lin, Derin B. Keskin, Guanglan Zhang, Lou Chitkushev, Vladimir Brusic:
Classification of Five Cell Types from PBMC Samples using Single Cell Transcriptomics and Artificial Neural Networks. 2207-2213 - Paola Stolfi, Ilaria Valentini, Maria Concetta Palumbo, Paolo Tieri, Andrea Grignolio, Filippo Castiglione:
Potential predictors of type-2 diabetes risk: machine learning, synthetic data and wearable health devices. 2214-2221 - Ping Zhang, Tegan Roberts, Brent Richards, Luke J. Haseler:
Predicting intensive care outcomes in traumatic brain injury using heart rate variability measures with feature extraction strategies. 2222-2227 - Guanglan Zhang, Lou Chitkushev, Derin B. Keskin, Vladimir Brusic:
TANTIGEN 2.0: an online database and analysis platform for tumor T cell antigens. 2228-2231 - Giuseppe Agapito, Barbara Calabrese, Pietro Hiram Guzzi, Sabrina Graziano, Mario Cannataro:
Association Rule Mining from large datasets of clinical invoices document. 2232-2238 - Giuseppe Agapito, Marianna Milano, Pietro Hiram Guzzi, Mario Cannataro:
Mining Association Rules From Disease Ontology. 2239-2243 - Giuseppe Agapito, Pietro Hiram Guzzi, Mario Cannataro:
Pathway Analysis for SNP microarray data. 2244-2250 - Sahar Hojjatinia, Constantino M. Lagoa:
Comparison of Different Spike Sorting Subtechniques Based on Rat Brain Basolateral Amygdala Neuronal Activity. 2251-2258 - Zheming Jin, Hal Finkel:
Evaluation of Medical Imaging Applications using SYCL. 2259-2264 - Yuanyuan Wu, Xiaojin Li, Jinze Liu, Licong Cui:
Hadoop-EDF: Large-scale Distributed Processing of Electrophysiological Signal Data in Hadoop MapReduce. 2265-2271 - Zekun Yin, Xiaoming Xu, Kaichao Fan, Ruilin Li, Weizhong Li, Weiguo Liu, Beifang Niu:
DGCF: A Distributed Greedy Clustering Framework for Large-scale Genomic Sequences. 2272-2279 - Mariaconcetta Bilotta, Umberto Bernardi, Antonino Posterino, Massimiliano Perri, Amerigo Conte, Marco Cefalà, Antonio D'Augello, Stefano Porchia, Salvatore Corasaniti, Gianni Zilio, Luisa Raso:
Healthing: a Prototype Web-Based Platform for the Monitoring of Chronic Patients and Predicting the Risk of Comorbidity. 2280-2287 - Carlos Fernandes, Flora J. Ferreira, Miguel F. Gago, Olga Azevedo, Nuno J. Sousa, Wolfram Erlhagen, Estela Bicho:
Gait classification of patients with Fabry's disease based on normalized gait features obtained using multiple regression models. 2288-2295 - Gionata Fragomeni, Michele Rossi:
Peripheral extracorporeal membrane oxygenation with interposition graft. The outflow is highly dependent on the anastomotic angle. 2296-2299 - Giuseppe Tradigo, Patrizia Vizza, Giuseppe Brescia, Pietro Hiram Guzzi, Pierangelo Veltri:
A geographical patients based health information system. 2300-2303 - Giuseppe Tradigo, Patrizia Vizza, Pierangelo Veltri, Pasquale Lambardi, Fulvia Michela Caligiuri, Gianmichele Caligiuri, Pietro Hiram Guzzi:
SISTABENE: an information system for the traceability of agricultural food production. 2304-2309 - Eugenio Vocaturo, Diego Perna, Ester Zumpano:
Machine Learning Techniques for Automated Melanoma Detection. 2310-2317 - Eugenio Vocaturo, Ester Zumpano:
Dangerousness of dysplastic nevi: a Multiple Instance Learning Solution for Early Diagnosis. 2318-2323 - Zhenyu Cui, Zhiao Gao, Jiaxu Leng, Tianlin Zhang, Pei Quan, Wei Zhao:
Alzheimer's Disease Diagnosis Using Enhanced Inception Network Based on Brain Magnetic Resonance Image. 2324-2330 - Hiroto Date, Keisuke Kawasaki, Isao Hasegawa, Takayuki Okatani:
Deep Learning for Natural Image Reconstruction from Electrocorticography Signals. 2331-2336 - Clement Essien, Duolin Wang, Dong Xu:
Capsule Network for Predicting Zinc Binding Sites in Metalloproteins. 2337-2341 - Ziyu Gan, Jiangyue Tang, Xuan Yang:
Left Ventricle Motion Estimation Based on Unsupervised Recurrent Neural Network. 2342-2349 - Behzad Ghazanfari, Sixian Zhang, Fatemeh Afghah, Nathan Payton-McCauslin:
Simultaneous Multiple Features Tracking of Beats: A Representation Learning Approach to Reduce False Alarm Rate in ICUs. 2350-2355 - Beibei Hou, Guixia Kang, Xin Xu, Chuan Hu:
Cross Attention Densely Connected Networks for Multiple Sclerosis Lesion Segmentation. 2356-2361 - Shu Isaka, Hiroharu Kawanaka, Bruce J. Aronow, V. B. Surya Prasath:
Multi-Class Segmentation of Lung Immunofluorescence Confocal Images Using Deep Learning. 2362-2368 - Johannes Schöneberg, Gautham Raghupathi, Eric Betzig, David A. Drubin:
3D Deep Convolutional Neural Networks in Lattice Light-Sheet Data Puncta Segmentation. 2369-2372 - Mahdieh Shabanian, Eugene C. Eckstein, Hao Chen, John P. DeVincenzo:
Classification of Neurodevelopmental Age in Normal Infants Using 3D-CNN based on Brain MRI. 2373-2378 - Tavakoli H. Maryam, Boshu Ru, Tianyi Xie, Mirsad Hadzikadic, Qingrong Jackie Wu, Yaorong Ge:
Dose Prediction for Prostate Radiation Treatment: Feasibility of a Distance-Based Deep Learning Model. 2379-2386 - Junlin Wang, Wenbo Wang, Yi Shang:
A New Approach Of Applying Deep Learning To Protein Model Quality Assessment. 2387-2392 - Meiyan Xie, Yunzhu Li, Yunzhe Xue, Randy Shafritz, Saum A. Rahimi, Justin W. Ady, Usman W. Roshan:
Vessel lumen segmentation in internal carotid artery ultrasounds with deep convolutional neural networks. 2393-2398 - Jingting Xu, Derek Reiman, Shang Gao, Yang Dai:
Using Convolutional Neural Network to Study the Regulatory Relationship Between DNA Methylation and Gene Expression. 2399-2404 - Mohammed Aledhari, Shelby Joji, Mohamed Hefeida, Fahad Saeed:
Optimized CNN-based Diagnosis System to Detect the Pneumonia from Chest Radiographs. 2405-2412 - Haigen Hu, Chao Du, Pierre Decazes, Pierre Vera, Su Ruan:
A Prior Knowledge Intergrated Scheme for Detection and Segmentation of Lymphomas in 3D PET Images based on DBSCAN and GAs. 2413-2420 - Oluwasegun Oladipo, Ifeoma Patricia Osamor, Victor Chukwudi Osamor, Theresa Nkechi Abiodun, Austin Olushola Omoremi, Mba O. Odim, Raphael Henshaw Ekpo:
Face-Age Modeling: A Pattern Recognition Analysis for Age Estimation. 2421-2427 - Jose Alberto Souza Paulino, Robson Pequeno de Sousa, Carlos Wilson Dantas de Almeida, Eduardo Jorge Valadares Oliveira, Katia Elizabete Galdino, Misael Elias de Morais:
A methodical assessment of interpolation techniques to metal artifact reduction in Computed Tomography. 2428-2432 - Anish Sana, James Philips, Jamie L. Perry, Nasseh Tabrizi:
Investigating Velopharyngeal Closure Force with Linear Regression. 2433-2437 - Mukta Sharma, Mahua Bhattacharya:
Segmentation of CA3 Hippocampal Region of Rat Brain Cells Images Based on Bio-inspired Clustering Technique. 2438-2445 - Jiao-Zhi Wang, Yong Xiao, Shao-Wu Shen, Shuang-Gui Tian:
Equity Analysis of Regional Allocation of Traditional Chinese Medicine Resources in Traditional Chinese Medicine Hospitals of Hubei Province. 2446-2449 - Liang Zhou, Lixin Liang, Zhijun Zeng, Houwu Gong:
Medication Rules of Traditional Chinese Medicine in Consolidation Period of Breast Cancer Based on Association Rules Mining. 2450-2454 - Jing Liu, Dawei Qiu, Xuelan Zhang, Peng Qiu, Yibo Feng, Huifen Li:
An Efficient Cell Segmentation Algorithm Based on Unsupervised Clustering and Morphology. 2455-2460 - Lin Meng, Jing Liu, Yibo Feng, Shuxuan Liu, Hui Cao:
Retinal Vessel Segmentation Based on Multi-scale Line Detection and Morphological Transformation. 2461-2466 - Bing Wang, Feng Yuan, Shouqiang Chen, Fengyang Yu, Yue Liu, Chuanjie Xu:
Visualization Analysis of International Research Progress in the Field of Traditional Chinese Medicine Informatization. 2467-2473 - Zeyuan Wang, Josiah Poon, Simon K. Poon:
TCM Translator: A Sequence Generation Approach for Prescribing Herbal Medicines. 2474-2480 - Yawei Wei, Xueru Zhao, Jidong Chen, Li Ma:
Summarizing Professor Chen Ruquan's Therapeutic Experience of Thyroid Disease Based on Machine Learning. 2481-2485 - Xiaohua Wu, Shaowu Shen:
Comprehensive Evaluation of Medical Service Efficiency in TCM Hospitals Based on Data Envelopment Method and Rank Sum Ratio Method. 2486-2492 - Xianjun Fu, Ting Yuan, Xuebo Li, Zhenguo Wang, Yang Zhou, Fangning Ju, Jintong Li, Xiaokang Chen, Sang Xiaoming:
Research on the Method and System of Word Segmentation and POS Tagging for Ancient Chinese Medicine Literature. 2493-2498 - Xuebo Li, Xianjun Fu, Zhenguo Wang:
Bibliometric Analysis of Salvia Miltiorrhiza Research Based on CNKI Chinese Academic Journal Database. 2499-2502 - Yi Ye, Bo Xu, Li Ma, Jiayan Zhu, Heyuan Shi, Xiaohong Cai:
Research on treatment and medication rule of insomnia treated by TCM based on data mining. 2503-2508 - Yu Liu, Houwu Gong, Heng Chen:
Study on Medical Records of Xiexin Decoction Analogous Prescriptions Based on Complex Network Algorithm. 2509-2514 - Guang Zheng, Chengjie Hu, Hongtao Guo, Cheng Lv:
Healing Functions of Carthami Flos against Contusion and Other Potential Damages. 2515-2519 - Yan Zhu, Yidi Cui, Bo Gao, Lihong Liu, Junhui Wang:
An approach to calculation and visualization of efficacies of Traditional Chinese Medical formulae based on a semantic network. 2520-2524 - Hongkai Chen, Sazia Mahfuz, Farhana H. Zulkernine:
Smart Phone Based Human Activity Recognition. 2525-2532 - Mario Ciampi, Elio Masciari, Giuseppe De Pietro, Stefano Silvestri:
A Big Data Approach for Health Data Information Retrieval. 2533-2540 - Md Abdullah Al Hafiz Khan, Nevenka Dimitrova, Md. Shamsuzzaman, Sadid A. Hasan, Mohammad S. Sorower, Joey Liu, Vivek V. Datla, Mladen Milosevic, Gabe Mankovich, Rob van Ommering:
Improving Disease Named Entity Recognition for Clinical Trial Matching. 2541-2548 - Sanghoon Lee, Mohamed Amgad, Mohamed Masoud, Rajasekaran Subramanian, David A. Gutman, Lee A. D. Cooper:
An Ensemble-based Active Learning for Breast Cancer Classification. 2549-2553 - Rahul Pandey, Rob van Ommering, Nevenka Dimitrova, Md. Shamsuzzaman, Sadid A. Hasan, Mohammad S. Sorower, Md Abdullah Al Hafiz Khan, Joey Liu, Vivek V. Datla, Mladen Milosevic, Gabe Mankovich:
BoostER: A Performance Boosting Module for Biomedical Entity Recognition. 2554-2560 - Nadiya Straton, Raymond T. Ng, Hyeju Jang, Ravi Vatrapu, Raghava Rao Mukkamala:
Predictive modelling of stigmatized behaviour in vaccination discussions on Facebook. 2561-2568 - Haben Yhdego, Nahom Kidane, Sahil Aggarwal, Andrew E. Cross, Frederic D. McKenzie, Michel A. Audette:
Convolutional Neural Network for ECG-based Virtual Pathology Stethoscope Tracking in Patient Heart Auscultation. 2569-2573 - Andrew Colt Deckert, Erich Kummerfeld:
Investigating the effect of binning on causal discovery. 2574-2581 - Fattaneh Jabbari, Shyam Visweswaran, Gregory F. Cooper:
An Empirical Investigation of Instance-Specific Causal Bayesian Network Learning. 2582-2585 - Erich Kummerfeld, Alexander Rix:
Simulations evaluating resampling methods for causal discovery: ensemble performance and calibration. 2586-2593 - Sisi Ma, Thomas Kirsh, Erich Kummerfeld, Melissa Fisher, Brandon Schermitzler, Sophia Vinogradov:
Constructing Instrument Mapping Using Markov Boundary Techniques: A Case Study with Two Quality of Life Instruments. 2594-2598 - Philip Versteeg, Joris M. Mooij:
Boosting Local Causal Discovery in High-Dimensional Expression Data. 2599-2604 - Zeeshan Ahmed, Saman Zeeshan, Bruce T. Liang:
PAS-Code: iOS App with Mobile Access to the International Classified Disease and Drug Databases for Health Informatics & Precision Medicine: PAS-Code with ICD and NDC. 2605-2612 - Munira Alballa, Gregory Butler:
Ontology-based transporter substrate annotation for benchmark datasets. 2613-2619 - Mohammad Alodadi, Vandana P. Janeja:
Clinical Entities Association Rules (CLEAR): Untangling Clinical Notes in Electronic Health Records. 2620-2627 - Gretchen Hook-Podhorniak, Subrata Acharya:
Effectual Emergency Severity Adaptation for Improved Triage Care Operations. 2628-2633 - Zhiwei Liang, Jiangti Kong, Nenggui Xu, Baoyan Liu, Ying Lu:
An XHTML Solution for a Secure EDC System for Traditional Chinese Medicine Clinics Based on ICD-11 MMS Database and E-Signature. 2634-2641 - Xiong Liu, Yu Chen, Jay Bae, Hu Li, Joseph Johnston, Todd Sanger:
Predicting Heart Failure Readmission from Clinical Notes Using Deep Learning. 2642-2648 - Rana S. Mahmoud, Ahmed H. Yousef:
Using Molecular Fingerprints as Descriptors in Toxicity Prediction: A Survey. 2649-2654 - Zakina McGee, Subrata Acharya:
Security Analysis of OpenEMR. 2655-2660 - Qasem Abu Al-Haija, Kamal Al Nasr:
Supervised Regression Study for Electron Microscopy Data. 2661-2668 - Ashmita Rajkumar:
Prediction of Diabetes Progression Using Statistical Modeling. 2669-2672 - Nadiya Straton, Hyeju Jang, Raymond T. Ng, Ravi Vatrapu, Raghava Rao Mukkamala:
Computational modeling of stigmatized behaviour in pro-vaccination and anti-vaccination discussions on social media. 2673-2681 - Ruoyu Liu, Xin Lai, Xiao Xiao, Xuanping Zhang, Xiaoyan Zhu, Jiayin Wang:
An Artificial Fish Swarm Algorithm for Identifying Associations between Multiple Variants and Multiple Phenotypes. 2682-2689 - Jiasheng Liu, Juan Liu, Yuqi Chen, Chunbing Hua, Zhuoyu Li, Zhiqun Zuo:
A Robust Approach to Locate HER2 and CEN17 Signals in Varied FISH Images. 2690-2695 - Pargorn Puttapirat, Chen Li, Haichuan Zhang, Jingyi Deng, Yuxin Dong, Jiangbo Shi, Hongyu He, Zeyu Gao, Chunbao Wang, Xiangrong Zhang:
OpenHI2 - Open source histopathological image platform. 2696-2701 - Jiangbo Shi, Zeyu Gao, Haichuan Zhang, Pargorn Puttapirat, Chunbao Wang, Xiangrong Zhang, Chen Li:
Effects of annotation granularity in deep learning models for histopathological images. 2702-2708 - Chunbao Wang, Zhe Yang, Kai Wang, Pargorn Puttapirat, Chen Li, Guanjun Zhang:
Comparing digital histology slides with multiple staining based on decoloring and dyeing technique. 2709-2714 - Xusheng Li, Chengcheng Fu, Ran Zhong, Duo Zhong, Tingting He, Xingpeng Jiang:
Bacterial Named Entity Recognition Based on Language Model. 2715-2721 - Yanhui Wang, Xiaoqing Chi, Dazhi Meng:
The Application of Network Structure Aanalysis in the Study of Disease Mechanisms. 2722-2728 - Haluk Dogan, Zeynep Hakguder, Stephen Scott, Juan Cui:
Elucidation of MicroRNA-Gene Regulation in Human Cancer with Integrative Network Models. 2729-2734 - Dan Shao, Lan Huang, Yan Wang, Xueteng Cui, Kai He, Yao Wang:
Computational Prediction of Human Body-Fluid Protein. 2735-2740 - Hunter Boyce, Parag Mallick:
Geostatistical visualization of ecological interactions in tumors. 2741-2749 - Alberto Santamaría-Pang, Anup Sood, Dan E. Meyer, Aritra Chowdhury, Fiona Ginty:
Automated Phenotyping via Cell Auto Training (CAT) on the Cell DIVE Platform. 2750-2756 - Sen Peng, Seungchan Kim, Harshil Dhruv, Sanhita Rath, Connor Vuong, Saumya Bollam, Jenny Eschbacher, Xishuang Dong, Shwetal Mehta, Nader Sanai, Michael E. Berens:
Probing glioblastoma and its microenvironment using single-nucleus and single-cell sequencing. 2757-2762 - Tianyu Wang, Sheida Nabavi:
Single-cell RNAseq Imputation Based on Matrix Completion with Side Information. 2763-2770 - Vishnu Sripriya Akondi, Vineetha Menon, Jérôme Baudry, Jana Whittle:
Novel K-Means Clustering-based Undersampling and Feature Selection for Drug Discovery Applications. 2771-2778 - Zhila Esna Ashari Esfahani, Shira L. Broschat:
t-Tree and t-Forest: Decision Tree and Random Forest Algorithms Including the Relevance Factor with Applications in Bioinformatics. 2779-2783 - Rizwan Qureshi, Mengxu Zhu, Avirup Ghosh, Hong Yan:
Computational Analysis of Structural Dynamics of EGFR and its Mutants. 2784-2791 - Xiaokang Zhang, Inge Jonassen:
An Ensemble Feature Selection Framework Integrating Stability. 2792-2798 - Dezhong Deng, Douglas Holman, David A. Hendrix:
DeepSloop: A Recurrent Neural Network Learns Complex Rules to Detect Stem-Loop-Forming RNA Sequences. 2799-2807 - Rezvan Ehsani, Finn Drabløs:
Predicting Cancer Association of LncRNAs by Co-Expression. 2808-2809 - Ian Huntress, Erin Harrell, Hayden Brochu, Xinxia Peng:
Computational identification of extra coding RNAs related to HIV-1 infection. 2810-2815 - Leonard Lipovich, Pattaraporn Thepsuwan, Anton S. Goustin, Erica L. Kleinbrink, Juan Cai, Donghong Ju, James B. Brown:
Ribosomal in-frame mis-translation of stop codons in multiple open reading frames of specific human long non-coding RNAs. 2816 - Xian Shuang Liu, Baoyan Fan, Xinli Wang, Michael Chopp, Zheng Gang Zhang:
Differential long noncoding RNA and messenger RNA expression profiling and functional network analysis in stroke-induced neurogenesis. 2817-2824 - Abdullah Al Mamun, Ananda Mohan Mondal:
Feature Selection and Classification Reveal Key lncRNAs for Multiple Cancers. 2825-2831 - Laurent Manchon, Audrey Vautrin, Jamal Tazi, Aude Garcel, Noelie Campos:
Targeting Long Non-Coding RNA splicing by novel candidate drug. 2832-2837 - Anna Solovyeva, Ivan Levakin, Olga I. Podgornaya:
From clonal diversity to transposon derived long non-coding RNA in trematode Himasthla elongata parthenogenetic generations. 2838-2840 - Yudi Tian, Yunhao Mao, Yaou Zhang:
Three hub lncRNAs associated with prognosis of endometrial cancer identified by co-expression analysis. 2841-2844 - Samuel Holmes, Anne Moorhead, Raymond R. Bond, Huiru Zheng, Vivien Coates, Michael F. McTear:
WeightMentor, bespoke chatbot for weight loss maintenance: Needs assessment & Development. 2845-2851 - Junhyung Moon, Juneil Lee, Dongmi Cheon, Munhee Lee, Kyoungwoo Lee:
Stress Recognition with State Classification Considering Temporal Variation of Stress Responses. 2852-2859 - Christian Nawroth, Felix Engel, Paul Mc Kevitt, Matthias L. Hemmje:
Emerging Named Entity Recognition on Retrieval Features in an Affective Computing Corpus. 2860-2868 - Binh Vu, Ryan Donovan, Michael Healy, Paul Mc Kevitt, Paul Walsh, Felix Engel, Michael Fuchs, Matthias L. Hemmje:
Using an Affective Computing Taxonomy Management System to Support Data Management in Personality Traits. 2875-2882 - Jianhai Zhang, Hongyan Xu, Li Zhu, Wanzeng Kong, Zheng Ma:
Gender recognition in emotion perception using EEG features. 2883-2887 - Xindi Wu, Yijun Mao, Haohan Wang, Xiangrui Zeng, Xin Gao, Eric P. Xing, Min Xu:
Regularized Adversarial Training (RAT) for Robust Cellular Electron Cryo Tomograms Classification. 1-6 - Peng Cao, Shanshan Tang, Min Huang, Jinzhu Yang, Dazhe Zhao, Amine Trabelsi, Osmar R. Zaïane:
Feature-aware Multi-task feature learning for Predicting Cognitive Outcomes in Alzheimer's disease. 1-5 - Qi Niu, Shaoliang Peng, Xiang-Li-Lan Zhang, Shuai Cheng Li, Ying Xu, Xiang-Cheng Xie, Yi-Gang Tong:
LysoPhD: predicting functional prophages in bacterial genomes from high-throughput sequencing. 1-5 - Simone Sandri, Matthias L. Hemmje, Huiru Zheng, Felix Engel, Anne Moorhead, Haiying Wang, Raymond R. Bond, Mike McTear, Andrea Molinari, Paolo Bouquet:
Is there an Optimal Technology to Provide Personal Supportive Feedback in Prevention of Obesity? 1-6 - Binh Vu, Yanxin Wu, Haithem Afli, Paul Mc Kevitt, Paul Walsh, Felix Engel, Michael Fuchs, Matthias L. Hemmje:
A metagenomic content and knowledge management ecosystem platform. 1-8 - Guang Zheng, Anjie Qiao, Cheng Lv:
Therapeutic Mechanisms of Persicae Semen towards Healing Processes. 1-3
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last updated on 2024-09-22 23:26 CEST by the dblp team
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