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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