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ORCIDBIBM 2020: Virtual Event, South Korea
- Taesung Park, Young-Rae Cho, Xiaohua Hu, Illhoi Yoo, Hyun Goo Woo, Jianxin Wang, Julio C. Facelli, Seungyoon Nam, Mingon Kang:
IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2020, Virtual Event, South Korea, December 16-19, 2020. IEEE 2020, ISBN 978-1-7281-6215-7
- Eva K. Lee:
Abstract: Modeling and Evaluating Intervention Options and Strategies for COVID-19 Containment: A Biological-Behavioral-Logistics Computation Decision Framework. 1-2 - Doheon Lee:
Accelerating Drug Discovery with an AI-Based Virtual Human System CODA. 3 - Luonan Chen:
Network biomarker for quantifying regular state of a biological system, and dynamic network biomarker for quantifying critical state of a biological system. 4 - Lei Deng, Jing Yang, Hui Liu:
Predicting circRNA-disease associations using meta path-based representation learning on heterogenous network. 5-10 - Lei Deng, Jiaojiao Zhao, Jingpu Zhang:
Predict the Protein-protein Interaction between Virus and Host through Hybrid Deep Neural Network. 11-16 - Yuzhi Guo, Jiaxiang Wu, Hehuan Ma, Sheng Wang, Junzhou Huang:
Protein Ensemble Learning with Atrous Spatial Pyramid Networks for Secondary Structure Prediction. 17-22 - Kazi Lutful Kabir, Gopinath Chennupati, Raviteja Vangara, Hristo N. Djidjev, Boian S. Alexandrov, Amarda Shehu:
Decoy Selection in Protein Structure Determination via Symmetric Non-negative Matrix Factorization. 23-28 - Junyi Li, Lixin Wang, Xiaoshuai Zhang, Bo Liu, Yadong Wang:
GONET: A Deep Network to Annotate Proteins via Recurrent Convolution Networks. 29-34 - Mohammad Al Sallal, Wei Chen, Kamal Al Nasr:
Machine Learning Approach to Assign Protein Secondary Structure Elements from Cα Trace. 35-41 - Kevin Sutanto, Marcel Turcotte:
Assessing the Use of Secondary Structure Fingerprints and Deep Learning to Classify RNA Sequences. 42-49 - Ahmed Bin Zaman, Toki Tahmid Inan, Amarda Shehu:
Protein Decoy Generation via Adaptive Stochastic Optimization for Protein Structure Determination. 50-55 - Jinhao Zhang, Shuhao Li, Yijie Ding, Jijun Tang, Fei Guo:
An two-layer predictive model of ensemble classifier chain for detecting antimicrobial peptides. 56-61 - Faizy Ahsan, Alexandre Drouin, François Laviolette, Doina Precup, Mathieu Blanchette:
Phylogenetic Manifold Regularization: A semi-supervised approach to predict transcription factor binding sites. 62-66 - Qiguo Dai, Zhaowei Wang
, Jinmiao Song, Xiaodong Duan, Maozu Guo, Zhen Tian:
A Stacked Ensemble Learning Framework with Heterogeneous Feature Combinations for Predicting ncRNA-Protein Interaction. 67-71 - Yuzhi Guo, Jiaxiang Wu, Hehuan Ma, Jinyu Yang, Xinliang Zhu, Junzhou Huang:
WeightAln: Weighted Homologous Alignment for Protein Structure Property Prediction. 72-75 - Yuan Liu, Changhui Yan:
A Novel Spatial Feature For Predicting Lysine Malonylation Sites Using Machine Learning. 76-79 - Sinuo Liu, Yan Ma, Xiaojuan Ban, Xiangrui Zeng, Mohan Vamsi Nallapareddy, Ajinkya Chaudhari, Min Xu:
Efficient Cryo-Electron Tomogram Simulation of Macromolecular Crowding with Application to SARS-CoV-2. 80-87 - Aritra Mahapatra, Jayanta Mukherjee:
GenFooT: Genomic Footprint of mitochondrial sequence for Taxonomy classification. 88-91 - Yu Song, Xiang-Zhen Kong, Jin-Xing Liu, Juan Wang, Shasha Yuan, Ling-Yun Dai:
Dual Graph regularized PCA based on Different Norm Constraints for Bi-clustering Analysis on Single-cell RNA-seq Data. 92-95 - Han Wang, Jiuhong Jiang, Qiufen Chen, Chunhua Zhang, Chang Lu, Zhiqiang Ma:
SeqTMPPI: Sequence-Based Transmembrane Protein Interaction Prediction. 96-99 - Yaoran Chen, Yuanyuan Zhu, Ming Zhong, Rong Peng, Juan Liu:
GPPIAL: A New Global PPI Network Aligner Based on Orthologs. 100-107 - Hongyang Jiang, Zhihang Wang, Chaoyi Yin, Peishuo Sun, Ying Xu, Huiyan Sun:
Identification of Cancer Development Related Pathways Based on Co-Expression Analyses. 108-114 - Sufang Li, Jun Wang, Maozu Guo, Xiangliang Zhang:
Cooperative Driver Pathway Discovery by Hierarchical Clustering and Link Prediction. 115-120 - Chuan-Yuan Wang, Ying-Lian Gao, Cui-Na Jiao, Jin-Xing Liu, Chunhou Zheng, Xiang-Zhen Kong:
Locally Manifold Non-negative Matrix Factorization Based on Centroid for scRNA-seq Data Analysis. 121-125 - Zhihui Yang, Juan Liu, Zeyu Wang, Yufan Wang, Jing Feng:
Multi-Class Metabolic Pathway Prediction by Graph Attention-Based Deep Learning Method. 126-131 - Yongqing Zhang, Qingyuan Chen, Dongrui Gao, Quan Zou:
GRRFNet: Guided Regularized Random Forest-based Gene Regulatory Network Inference Using Data Integration. 132-139 - Ruiqing Zheng, Zhenlan Liang, Xiangmao Meng, Yu Tian, Min Li:
A robust single cell clustering method based on subspace learning and partial imputation. 140-145 - Cagatay Dursun, Jennifer R. Smith, G. Thomas Hayman, Anne E. Kwitek, Serdar Bozdag:
NECo: A node embedding algorithm for multiplex heterogeneous networks. 146-149 - Xu Jin, MingMing Liu, Lin Wang, WenQian He, Yalou Huang, Maoqiang Xie:
Multi-Resolutional Collaborative Heterogeneous Graph Convolutional Auto-Encoder for Drug-Target Interaction Prediction. 150-153 - Pujan Joshi, Brent Basso, Honglin Wang, Seung-Hyun Hong, Charles Giardina, Dong-Guk Shin:
Identification of Key Biological Pathway Routes in Cancer Cohorts. 154-157 - Arfeen Khalid:
BioMETA: A multiple specification parameter estimation system for stochastic biochemical models. 158-163 - Honglin Wang, Pujan Joshi, Seung-Hyun Hong, Peter F. Maye, David W. Rowe, Dong-Guk Shin:
cTAP: A Machine Learning Framework for Predicting Target Genes of a Transcription Factor using a Cohort of Gene Expression Data Sets. 164-167 - Hansi Zheng, Xiaoman Li, Haiyan Hu:
Deep Learning to Identify Transcription Start Sites from CAGE Data. 168-172 - Lei Cai, Yufeng Wu, Jingyang Gao:
scSNVIndel. accurate and efficient calling of SNVs and indels from single cell sequencing using integrated Bi-LSTM. 173-179 - Jialong Chen, Lei Deng:
DeepARC: An Attention-based Hybrid Model for Predicting Transcription Factor Binding Sites from Positional Embedded DNA Sequence. 180-185 - Koichi Mori, Haruka Ozaki, Tsukasa Fukunaga:
MotiMul: A significant discriminative sequence motif discovery algorithm with multiple testing correction. 186-193 - Huiling Zhang, Jun Wang, Guoxian Yu, Lizhen Cui, Maozu Guo:
Epistasis Detection using Heterogeneous Bio-molecular Network. 194-199 - Kyle Ferriter, Frank Mueller, Amir Bahmani, Cuiping Pan:
VCFC: Structural and Semantic Compression and Indexing of Genetic Variant Data. 200-203 - Dominique Lavenier, Remy Cimadomo, Romaric Jodin:
Variant Calling Parallelization on Processor-in-Memory Architecture. 204-207 - Yanbo Li, Hardip Patel, Yu Lin:
Kmer2SNP: reference-free SNP calling from raw reads based on matching. 208-212 - Luís Silva, Carlos Pereira, Joel P. Arrais:
Using a Novel Unbiased Dataset and Deep Learning Architectures to Predict Protein-Protein Interactions. 213-216 - Changlin Wan, Dongya Jia, Yue Zhao, Wennan Chang, Sha Cao, Xiao Wang, Chi Zhang:
A data denoising approach to optimize functional clustering of single cell RNA-sequencing data. 217-222 - Seunghyun Wang, Doheon Lee:
Identifying prognostic subgroups of luminal-A breast cancer using a deep autoencoder. 223-227 - Zhenpeng Wu, Jiantao Zheng, Hong-Dong Li:
Identification of Disease-Associated Genes Based on Differential Intron Retention. 228-231 - Yin Zhang, Fei Wang:
Integration for single-cell RNA sequencing data based on the shared cell type assignment. 232-235 - Xudong Zhao, Weiqi Su, Hangyu Li, Tong Liu, Denan Kong, Guohua Wang:
AFS-DEA: An automatic feature selection platform for differential expression analysis. 236-239 - Tianfan Fu, Cao Xiao, Lucas M. Glass, Jimeng Sun:
α-MOP: Molecule optimization with α-divergence. 240-244 - Dong Chen, Wenjie Shu, Shaoliang Peng:
Predicting CRISPR-Cas9 Off-target with Self-supervised Neural Networks. 245-250 - Jiatao Chen, Liang Zhang, Ke Cheng, Bo Jin, Xinjiang Lu, Chao Che, Yiwei Liu:
Exploring Multi-level Mutual Information for Drug-target Interaction Prediction. 251-256 - Jingyuan Chou, Stefan Bekiranov, Chongzhi Zang, Mengdi Huai, Aidong Zhang:
Analysis of Meta-Learning Approaches for TCGA Pan-cancer Datasets. 257-262 - Jianliang Gao, Ling Tian, Yuxin Liu, Jianxin Wang, Zhao Li, Xiaohua Hu:
Multi-task Based Few-Shot Learning for Disease Similarity Measurement. 263-268 - Chengxin He, Lei Duan, Huiru Zheng, Jesse Li-Ling, Longhai Li:
DRAMA: Discovering Disease-related circRNA-miRNA-mRNA Axes from Disease-RNA Information Network. 269-274 - Tianwen Jiang, Ning Zhang, Ming Liu, Meng Jiang, Ting Liu, Bing Qin:
Use of "Internal Knowledge": Biomedical Literature Search Liberated From External Resources. 275-280 - Xingyi Li, Ju Xiang, Fang-Xiang Wu, Min Li:
A topological AUC-based biomarker ensemble method for the complex disease analysis. 281-286 - Lishuang Li, Mengzuo Huang, Beibei Zhang:
Hierarchical Distillation Network for Biomedical Event Extraction. 287-292 - Wei Li, Qingqing Zhao, Han Zhang, Xiongwen Quan, Jing Xu, Yanbin Yin:
Bayesian Multi-scale Convolutional Neural Network for Motif Occupancy Identification. 293-298 - Zhuang Li, Jie He, Xiaotong Zhang, Huadong Fu, Jingyan Qin:
Toward high accuracy and visualization: An interpretable feature extraction method based on genetic programming and non-overlap degree. 299-304 - Jiefu Li, Jung-Youn Lee, Li Liao:
A Novel Algorithm for Training Hidden Markov Models with Positive and Negative Examples. 305-310 - Wenqi Li, Dehua Chen, Jiajin Le:
Coronary Heart Disease Prediction Based on Combined Reinforcement Multitask Progressive Networks. 311-318 - Haifeng Liu, Hongfei Lin, Chen Shen, Liang Yang, Yuan Lin, Bo Xu, Zhihao Yang, Jian Wang, Yuanyuan Sun:
Drug Repositioning for SARS-CoV-2 Based on Graph Neural Network. 319-322 - Ming Liu, Wei Dai, Wei Peng, Yu Fu, Yi Pan:
A multi-view approach for predicting microbedisease associations by fusing the linear and nonlinear features. 323-328 - Wui Wang Lui, Amy Wing-Sze Leung, Henry C. M. Leung, Yan Xin, Jade L. L. Teng, Patrick C. Y. Woo, Tak Wah Lam, Ruibang Luo:
MegaPath-Nano: Accurate Compositional Analysis and Drug-level Antimicrobial Resistance Detection Software for Oxford Nanopore Long-read Metagenomics. 329-336 - Xuan Lv, Zhiguang Chen, Yutong Lu, Yuedong Yang:
An End-to-end Oxford Nanopore Basecaller Using Convolution-augmented Transformer. 337-342 - Thosini Bamunu Mudiyanselage, Xiujuan Lei, Nipuna Senanayake, Yanqing Zhang, Yi Pan:
Graph Convolution Networks Using Message Passing and Multi-Source Similarity Features for Predicting circRNA-Disease Association. 343-348 - Yang Wen, Leiting Chen, Lifeng Qiao, Yu Deng, Siying Dai, Junjing Chen, Chuan Zhou:
Symptom and Pathology Report Generation for Ophthalmic Diseases in Fundus Images. 349-356 - Yuan Xu, Zhihao Yang, Yawen Song, Zhiheng Li, Lei Wang, Yin Zhang, Hongfei Lin, Jian Wang:
Star-BiLSTM-LAN for Document-level Mutation-Disease Relation Extraction from Biomedical Literature. 357-362 - Junjie Xu, Yaojia Zheng, Yifan Mao, Ruixuan Wang, Wei-Shi Zheng:
Anomaly Detection on Electroencephalography with Self-supervised Learning. 363-368 - Wuli Xu, Lei Duan, Huiru Zheng, Jesse Li-Ling, Weipeng Jiang, Menglin Huang, Yidan Zhang:
MISSION: Multimodal-Information-Aided Similar Disease Detection Based on Disease Information Network. 369-374 - Shujuan Yin, Weizhong Zhao, Xingpeng Jiang, Tingting He:
Knowledge-aware Few-shot Learning Framework for Biomedical Event Trigger Identification. 375-380 - Shugang Zhang, Weigang Lu, Zhen Li, Shuang Wang, Mingjian Jiang, Qing Yuan, Zhiqiang Wei, Henggui Zhang:
Mechanisms Underlying Sulfur Dioxide Pollution Induced Ventricular Arrhythmia: A Simulation Study. 381-386 - Tongxuan Zhang, Hongfei Lin, Bo Xu, Yuqi Ren, Zhihao Yang, Jian Wang, Xiaodong Duan:
Gated iterative capsule network for adverse drug reaction detection from social media. 387-390 - Jinyong Zhang, Weizhong Zhao, Jincai Yang, Xingpeng Jiang, Tingting He:
An Effective Framework for Document-level Chemical-induced Disease Relation Extraction via Fine-grained Interaction between Contexts. 391-396 - Yu-Ying Zhao, Maoli Wang, Juan Wang, Shasha Yuan, Jin-Xing Liu, Xiang-Zhen Kong:
Tensor Robust Principal Component Analysis with Low-Rank Weight Constraints for Sample Clustering. 397-401 - Weizhong Zhao, Yao Zhao, Xingpeng Jiang, Tingting He, Fan Liu, Ning Li:
A Novel Method for Multiple Biomedical Events Extraction with Reinforcement Learning and Knowledge Bases. 402-407 - Borzou Alipourfard, Jean Gao:
Causal Gene Selection Using Marginal Independencies. 408-411 - Zhe Cui, Bo Liu, Liran Juan, Tianyi Zang, Tao Jiang, Yadong Wang:
Assessment of Machine Learning Methods for Classification in Single Cell ATAC-seq. 412-416 - Saya R. Dennis, Tanya Simuni, Yuan Luo:
A Predictive Model for Parkinson's Disease Reveals Candidate Gene Sets for Progression Subtype. 417-420 - Sanket Rajan Gupte, Dharm Skandh Jain, Ashwin Srinivasan, Raviprasad Aduri:
MP3vec: A Reusable Machine-Constructed Feature Representation for Protein Sequences. 421-425 - Fabián Hernández, Luis Fernando Niño, Fabio Aristizábal:
Predicting therapeutic outcomes in Rheumatoid Arthritis using real-world pharmacogenetic and clinical data. 426-431 - Fan Hu, Dongqi Wang, Yishen Hu, Jiaxin Jiang, Peng Yin:
Generating Novel Compounds Targeting SARS-CoV-2 Main Protease Based on Imbalanced Dataset. 432-436 - Changzhi Jiang, Yousi Fu, Shuting Jin, Xiangrong Liu, Baishan Fang, Xiangxiang Zeng:
A multi-task learning method for analyzing microbiota as cancer immunotherapy signal. 437-441 - Yiming Lei, Haiping Zhu, Junping Zhang, Hongming Shan:
Meta Ordinal Regression Forest For Learning with Unsure Lung Nodules. 442-445 - Zhenliang Li, Liming Yuan, Haixia Xu, Rui Cheng, Xianbin Wen:
Deep Multi-Instance Learning with Induced Self-Attention for Medical Image Classification. 446-450 - Cheng Ling, Yitian Shen, Jingyang Gao:
A novel synonymous processing method based on amino acid substitution matrics for the classification of G-protein-coupled receptors. 451-454 - Yahui Long, Yu Zhang, Min Wu, Shaoliang Peng, Chee Keong Kwoh, Jiawei Luo, Xiaoli Li:
Predicting Drugs for COVID-19/SARS-CoV-2 via Heterogeneous Graph Attention Networks. 455-459 - Kalana Wijegunarathna, Uditha Maduranga, Sadeep Weerasinghe, Indika Perera, Anuradha Wickramarachchi:
MetaG: a comprehensive visualization tool to explore metagenomes. 460-463 - Amiel Meiseles, Ishai Rosenberg, Yair Motro, Lior Rokach, Jacob Moran-Gilad:
Adversarial Vulnerability of Deep Learning Models in Analyzing Next Generation Sequencing Data. 464-468 - Qianwen Meng, Lizhen Cui, Guoxian Yu, Han Yu, Wei Guo, Hui Li:
CLUE: Personalized Hospital Readmission Prediction Against Data Insufficiency under Imbalanced-Data Environment. 469-472 - Hanlin Mou, Shanshan Zheng, Haifang Wu, Bojing Li, Tingting He, Xingpeng Jiang:
Virus Named Entity Recognition based on Pre-training Model. 473-476 - Swati Padhee, Anurag Illendula, Megan Sadler, Valerie L. Shalin, Tanvi Banerjee, Krishnaprasad Thirunarayan, William L. Romine:
Predicting Early Indicators of Cognitive Decline from Verbal Utterances. 477-480 - Subrata Saha, Ahmed Soliman, Sanguthevar Rajasekaran:
RSGSA: a Robust and Stable Gene Selection Algorithm. 481-485 - Javier Sastre, Ali Hosseinzadeh Vahid, Caitlin McDonagh, Paul Walsh:
A Text Mining Approach to Discovering COVID-19 Relevant Factors. 486-490 - Xuan Wang, Xiangchen Song, Bangzheng Li, Kang Zhou, Qi Li, Jiawei Han:
Fine-Grained Named Entity Recognition with Distant Supervision in COVID-19 Literature. 491-494 - Yu Wang, Shaowu Zhang, Yijia Zhang, Jian Wang, Hongfei Lin:
Extracting Protein-Protein Interactions Affected by Mutations via Auxiliary Task and Domain Pre-trained Model. 495-498 - Jael Sanyanda Wekesa, Yushi Luan, Jun Meng:
LPI-DL: A recurrent deep learning model for plant lncRNA-protein interaction and function prediction with feature optimization. 499-502 - Minqi Xu, Xiaolong Zhang, Xiaoli Lin:
Inferring Drug-Target Interactions Using Graph Isomorphic Network and Word Vector Matrix. 503-506 - Qing Ye, Xiaolong Zhang, Xiaoli Lin:
Drug-target Interaction Prediction via Multiple Output Deep Learning. 507-510 - Tianyu Yu, Yonghua Zhao, Rongfeng Huang, Shifang Liu, Xinyin Zhang:
Fast Approximate Spectral Clustering via Adaptive Filtering of Random Graph Signals. 511-514 - Qianshi Yuan, Xiaomei Wei, Xiaotian Xiong, Meiyang Li, Yaliang Zhang:
A Hybrid Neural Collaborative Filtering Model for Drug Repositioning. 515-518 - Yuansong Zeng, Xiang Zhou, Jiahua Rao, Yutong Lu, Yuedong Yang:
Accurately Clustering Single-cell RNA-seq data by Capturing Structural Relations between Cells through Graph Convolutional Network. 519-522 - Lingling Zhao, Junjie Wang, Liang Cheng, Chunyu Wang:
OntoSem: an Ontology Semantic Representation Methodology for Biomedical Domain. 523-527 - Tingting Cai, Yangming Zhou, Hong Zheng:
Cost-Quality Adaptive Active Learning for Chinese Clinical Named Entity Recognition. 528-533 - Jintai Chen, Hongyun Yu, Ruiwei Feng, Danny Z. Chen, Jian Wu:
Flow-Mixup: Classifying Multi-labeled Medical Images with Corrupted Labels. 534-541 - Shiyi Chen, Yaoru Sun, Haoran Wang, Zilong Pang:
Channel Selection based Similarity Measurement for Motor Imagery Classification. 542-548 - Yiqi Chen, Xuanya Li, Kai Hu, Zhineng Chen, Xieping Gao:
Nuclei Segmentation in Histopathology Images Using Rotation Equivariant and Multi-level Feature Aggregation Neural Network. 549-554 - Tingting Dan, Yang Li, Ziwei Zhu, Xijie Chen, Wuxiu Quan, Yu Hu, Guihua Tao, Lei Zhu, Jijin Zhu, Yuyan Jin, Longgeng Li, Chaokai Liang, Hanchun Wen, Hongmin Cai:
Machine Learning to Predict ICU Admission, ICU Mortality and Survivors' Length of Stay among COVID-19 Patients: Toward Optimal Allocation of ICU Resources. 555-561 - Yang Deng, Dagang Li, Qiang Zhang, Ying Shen:
Medical Big Data Mining: Joint Symptom Name Recognition and Severity Estimation. 562-569 - Lei Du, Jin Zhang, Fang Liu, Minjianan Zhang, Huiai Wang, Lei Guo, Junwei Han:
Mining High-order Multimodal Brain Image Associations via Sparse Tensor Canonical Correlation Analysis. 570-575 - Xueli Duan, Shaobo Duan, Pei Jiang, Runzhi Li, Ye Zhang, Jingzhe Ma, Hongling Zhao, Honghua Dai:
An Ensemble Deep Learning Architecture for Multilabel Classification on TI-RADS. 576-582 - Rui Hu, Jia-Ming Cai, Wangjie Zheng, Yang Yang, Hong-Bin Shen:
NiuEM: A Nested-iterative Unsupervised Learning Model for Single-particle Cryo-EM Image Processing. 583-588 - Mengdi Huai, Chenglin Miao, Jinduo Liu, Di Wang, Jingyuan Chou, Aidong Zhang:
Global Interpretation for Patient Similarity Learning. 589-594 - Xiaoxiang Huang, Guosheng Cui, Dan Wu, Ye Li:
A Semi-supervised Approach for Early Identifying the Abnormal Carotid Arteries Using a Modified Variational Autoencoder. 595-600 - Xing Jia, Yun Xiong, Jiawei Zhang, Yao Zhang, Yangyong Zhu:
Few-shot Radiology Report Generation for Rare Diseases. 601-608 - Daria Kurz, Cristian Axenie:
PERFECTO: Prediction of Extended Response and Growth Functions for Estimating Chemotherapy Outcomes in Breast Cancer. 609-614