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17th ISBRA 2021: Shenzhen, China
- Yanjie Wei, Min Li, Pavel Skums, Zhipeng Cai:
Bioinformatics Research and Applications - 17th International Symposium, ISBRA 2021, Shenzhen, China, November 26-28, 2021, Proceedings. Lecture Notes in Computer Science 13064, Springer 2021, ISBN 978-3-030-91414-1
AI and Disease
- Ying-Lian Gao
, Meng-Meng Yin
MKL-LP: Predicting Disease-Associated Microbes with Multiple-Similarity Kernel Learning-Based Label Propagation. 3-10 - Congmin Xu, Quoc D. Mac, Qiong Jia, Peng Qiu:
Immune-Microbiota Crosstalk Underlying Inflammatory Bowel Disease. 11-21 - Hunmin Lee, Mingon Kang, Yingshu Li, Daehee Seo, Donghyun Kim:
Epidemic Vulnerability Index for Effective Vaccine Distribution Against Pandemic. 22-34 - Qing Zhao, Renyan Feng, Jianqiang Li, Yanhe Jia:
Exploiting Multi-granular Features for the Enhanced Predictive Modeling of COPD Based on Chinese EMRs. 35-45 - Jiyun Li
Task-Oriented Feature Representation for Spontaneous Speech of AD Patients. 46-57 - Shuting Lin, Jie Zhou, Yiqiong Xiao, Bridget Neary, Yong Teng, Peng Qiu:
Identification of Protein Markers Predictive of Drug-Specific Survival Outcome in Cancers. 58-67 - Yunchao Gu, Xinliang Wang, Junjun Pan, Zhong Zhou:
Diabetic Retinopathy Grading Base on Contrastive Learning and Semi-supervised Learning. 68-79 - Jinhao Zhu, Yinjia Zhang, Weixiong Rao, Qinpei Zhao, Jiangfeng Li, Congrong Wang:
Reinforcement Learning for Diabetes Blood Glucose Control with Meal Information. 80-91 - Yueyue Wang, Xiujuan Lei, Yi Pan:
Predicting Microbe-Disease Association via Tripartite Network and Relation Graph Convolutional Network. 92-104 - Xiangyu Liu
Combining Model-Based and Model-Free Reinforcement Learning Policies for More Efficient Sepsis Treatment. 105-117 - Anping Song, Hongtao Zhu, Lifang Liu, Ziheng Song, Hongyu Jin:
An Efficient Two-Stage Fusion Network for Computer-Aided Diagnosis of Diabetic Foot. 118-129 - Zicheng Che, Wei Peng, Wei Dai, Shoulin Wei
A Heterogeneous Graph Convolutional Network-Based Deep Learning Model to Identify miRNA-Disease Association. 130-141 - Yishu Wang
Identification of Gastric Cancer Immune Microenvironment Related Genes with Poor Prognosis and Tumor Immune Infiltration. 142-152 - Sarwan Ali
A k-mer Based Approach for SARS-CoV-2 Variant Identification. 153-164 - Sergey Knyazev, Daniel Novikov, Mark Grinshpon, Harman Singh
A Novel Network Representation of SARS-CoV-2 Sequencing Data. 165-175
Computational Proteomics
- Shuai Lu
A Sequence-Based Antibody Paratope Prediction Model Through Combing Local-Global Information and Partner Features. 179-190 - Ruiquan Ge, Yizhang Luo, Guanwen Feng
SuccSPred: Succinylation Sites Prediction Using Fused Feature Representation and Ranking Method. 191-202 - Zixuan Wang, Xiaoyao Tan, Beichen Li, Yuhang Liu, Qi Shao, Zijing Li, Yihan Yang, Yongqing Zhang:
BindTransNet: A Transferable Transformer-Based Architecture for Cross-Cell Type DNA-Protein Binding Sites Prediction. 203-214 - Wenkang Wang
Overlapping Protein Complexes Detection Based on Multi-level Topological Similarities. 215-226 - Wen Li
LPI-FKLGCN: Predicting LncRNA-Protein Interactions Through Fast Kernel Learning and Graph Convolutional Network. 227-238
Biomedical Imaging
- Francesco Arcamone, Yanlun Tu, Yang Yang:
Prediction of Protein Subcellular Localization from Microscopic Images via Few-Shot Learning. 241-253 - Tian Bai, Zhenting Zhang, Chen Zhao, Xiao Luo:
A Novel Pseudo-Labeling Approach for Cell Detection Based on Adaptive Threshold. 254-265 - Chang Zhao, Shunfang Wang
Parameter Transfer Learning Measured by Image Similarity to Detect CT of COVID-19. 266-278 - Yidan Dai, Yuanyuan Zhuo, Xingxian Huang, Haibo Yu, Xiaomao Fan:
A Novel Prediction Framework for Two-Year Stroke Recurrence Using Retinal Images. 279-288 - Zhongyang Dai, Haishan Zhang, Feifei Lin, Shengzhong Feng, Yanjie Wei, Jiaxiu Zhou:
The Classification System and Biomarkers for Autism Spectrum Disorder: A Machine Learning Approach. 289-299 - Shuying Xu, Hongyan Quan:
LiteTrans: Reconstruct Transformer with Convolution for Medical Image Segmentation. 300-313 - Bin Xin, Yaning Yang, Dongqing Wei, Shaoliang Peng
CFCN: A Multi-scale Fully Convolutional Network with Dilated Convolution for Nuclei Classification and Localization. 314-323 - Sanbi Luo:
Image to Image Transfer Makes Malpositioned Teeth Orderly. 324-335 - Hao Liu, Xia Xiao, Xinglong Zhang, Kenli Li, Shaoliang Peng
MIFS: A Peer-to-Peer Medical Images Storage and Sharing System Based on Consortium Blockchain. 336-347 - Ming Jing
StarLace: Nested Visualization of Temporal Brain Connectivity Data. 348-359 - Kele Xu
Batch Weighted Nuclear-Norm Minimization for Medical Image Sequence Segmentation. 360-371
Drug Screening and Drug-Drug Interaction Prediction
- Ming Chen, Yi Pan, Chunyan Ji:
Predicting Drug Drug Interactions by Signed Graph Filtering-Based Convolutional Networks. 375-387 - Lina Liu, Shuang Yao, Zhaoyun Ding, Maozu Guo
Drug-Target Interaction Prediction Based on Gaussian Interaction Profile and Information Entropy. 388-399 - Jiang Xie, Jiaming Ouyang, Chang Zhao, Hongjian He, Xin Dong:
A Deep Learning Approach Based on Feature Reconstruction and Multi-dimensional Attention Mechanism for Drug-Drug Interaction Prediction. 400-410 - Xuesheng Bian
OrgaNet: A Deep Learning Approach for Automated Evaluation of Organoids Viability in Drug Screening. 411-423 - Shanchen Pang
HGDD: A Drug-Disease High-Order Association Information Extraction Method for Drug Repurposing via Hypergraph. 424-435 - Yonghui Cui, Zhijian Xu, Shaoliang Peng
IDOS: Improved D3DOCK on Spark. 436-447
Biomedical Data
- Jianhong Cheng, Qichang Zhao
A New Deep Learning Training Scheme: Application to Biomedical Data. 451-459 - Chen Wang
EEG-Based Emotion Recognition Fusing Spacial-Frequency Domain Features and Data-Driven Spectrogram-Like Features. 460-470 - Yuxia Guan, Jinrui Xu, Ning Liu, Jianxin Wang, Ying An:
ECG Arrhythmia Detection Based on Hidden Attention Residual Neural Network. 471-483 - Xiangyu Wei, Meifei Chen, Manxi Wu, Xiaowei Zhang
EEG-Based Depression Detection with a Synthesis-Based Data Augmentation Strategy. 484-496
Sequencing Data Analysis
- He-Ming Chu
Joint CC and Bimax: A Biclustering Method for Single-Cell RNA-Seq Data Analysis. 499-510 - Zehua Guo, Kai Su, Liangjie Liu, Xianbin Su
Improving Protein-protein Interaction Prediction by Incorporating 3D Genome Information. 511-520 - Margherita Cavattoni, Matteo Comin
Boosting Metagenomic Classification with Reads Overlap Graphs. 521-533 - Xiaoshu Zhu, Yongchang Lin, Jian Li, Jianxin Wang, Xiaoqing Peng:
ScDA: A Denoising AutoEncoder Based Dimensionality Reduction for Single-cell RNA-seq Data. 534-545
Others
- Hongjia Li, Ge Chen, Shan Gao, Jintao Li, Fa Zhang:
PickerOptimizer: A Deep Learning-Based Particle Optimizer for Cryo-Electron Microscopy Particle-Picking Algorithms. 549-560 - Jing Li, Shangping Zhong, Kaizhi Chen, Taibiao Li:
SkeIn: Sketchy-Intensive Reading Comprehension Model for Multi-choice Biomedical Questions. 561-571 - Jitao Zhang, Shihong Chen, Haoling Zhang
DNA Image Storage Using a Scheme Based on Fuzzy Matching on Natural Genome. 572-583 - Lingzhi Zhu
Prediction of Virus-Receptor Interactions Based on Similarity and Matrix Completion. 584-595 - Zhen Ju, Huiling Zhang, Jingtao Meng, Jingjing Zhang, Xuelei Li, Jianping Fan, Yi Pan, Weiguo Liu, Yanjie Wei:
An Efficient Greedy Incremental Sequence Clustering Algorithm. 596-607 - Brendan Smith, Cristian Navarro-Martinez, Rebecca Buonopane, S. Ashley Byun, Murray Patterson
Correlated Evolution in the Small Parsimony Framework. 608-619
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