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Bioinformatics Research and Applications

17th International Symposium, ISBRA 2021, Shenzhen, China, November 26–28, 2021, Proceedings

  • Conference proceedings
  • © 2021

Overview

Editors:
  1. Yanjie Wei

    1. Shenzhen Institutes of Advanced Technology, Shenzhen, China

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  2. Min Li

    1. Central South University, Changsha, China

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  3. Pavel Skums

    1. Georgia State University, Atlanta, USA

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  4. Zhipeng Cai

    1. Georgia State University, Atlanta, USA

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 13064)

Part of the book sub series: Lecture Notes in Bioinformatics (LNBI)

Included in the following conference series:

Conference proceedings info: ISBRA 2021.

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Table of contents (51 papers)

  1. Front Matter

    Pages i-xvi
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  2. AI and Disease

    1. Front Matter

      Pages 1-1
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    2. MKL-LP: Predicting Disease-Associated Microbes with Multiple-Similarity Kernel Learning-Based Label Propagation

      • Ying-Lian Gao, Meng-Meng Yin, Jin-Xing Liu, Junliang Shang, Chun-Hou Zheng
      Pages 3-10

    3. Immune-Microbiota Crosstalk Underlying Inflammatory Bowel Disease

      • Congmin Xu, Quoc D. Mac, Qiong Jia, Peng Qiu
      Pages 11-21

    4. Epidemic Vulnerability Index for Effective Vaccine Distribution Against Pandemic

      • Hunmin Lee, Mingon Kang, Yingshu Li, Daehee Seo, Donghyun Kim
      Pages 22-34

    5. Exploiting Multi-granular Features for the Enhanced Predictive Modeling of COPD Based on Chinese EMRs

      • Qing Zhao, Renyan Feng, Jianqiang Li, Yanhe Jia
      Pages 35-45

    6. Task-Oriented Feature Representation for Spontaneous Speech of AD Patients

      • Jiyun Li, Peng Huang
      Pages 46-57

    7. Identification of Protein Markers Predictive of Drug-Specific Survival Outcome in Cancers

      • Shuting Lin, Jie Zhou, Yiqiong Xiao, Bridget Neary, Yong Teng, Peng Qiu
      Pages 58-67

    8. Diabetic Retinopathy Grading Base on Contrastive Learning and Semi-supervised Learning

      • Yunchao Gu, Xinliang Wang, Junjun Pan, Zhong Zhou
      Pages 68-79

    9. Reinforcement Learning for Diabetes Blood Glucose Control with Meal Information

      • Jinhao Zhu, Yinjia Zhang, Weixiong Rao, Qinpei Zhao, Jiangfeng Li, Congrong Wang
      Pages 80-91

    10. Predicting Microbe-Disease Association via Tripartite Network and Relation Graph Convolutional Network

      • Yueyue Wang, Xiujuan Lei, Yi Pan
      Pages 92-104

    11. Combining Model-Based and Model-Free Reinforcement Learning Policies for More Efficient Sepsis Treatment

      • Xiangyu Liu, Chao Yu, Qikai Huang, Luhao Wang, Jianfeng Wu, Xiangdong Guan
      Pages 105-117

    12. An Efficient Two-Stage Fusion Network for Computer-Aided Diagnosis of Diabetic Foot

      • Anping Song, Hongtao Zhu, Lifang Liu, Ziheng Song, Hongyu Jin
      Pages 118-129

    13. A Heterogeneous Graph Convolutional Network-Based Deep Learning Model to Identify miRNA-Disease Association

      • Zicheng Che, Wei Peng, Wei Dai, Shoulin Wei, Wei Lan
      Pages 130-141

    14. Identification of Gastric Cancer Immune Microenvironment Related Genes with Poor Prognosis and Tumor Immune Infiltration

      • Yishu Wang, Lingyun Xu, Xuehan Tian, Zhe Lin
      Pages 142-152

    15. A k-mer Based Approach for SARS-CoV-2 Variant Identification

      • Sarwan Ali, Bikram Sahoo, Naimat Ullah, Alexander Zelikovskiy, Murray Patterson, Imdadullah Khan
      Pages 153-164

    16. A Novel Network Representation of SARS-CoV-2 Sequencing Data

      • Sergey Knyazev, Daniel Novikov, Mark Grinshpon, Harman Singh, Ram Ayyala, Varuni Sarwal et al.
      Pages 165-175

  3. Computational Proteomics

    1. Front Matter

      Pages 177-177
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    2. A Sequence-Based Antibody Paratope Prediction Model Through Combing Local-Global Information and Partner Features

      • Shuai Lu, Yuguang Li, Xiaofei Nan, Shoutao Zhang
      Pages 179-190

    3. SuccSPred: Succinylation Sites Prediction Using Fused Feature Representation and Ranking Method

      • Ruiquan Ge, Yizhang Luo, Guanwen Feng, Gangyong Jia, Hua Zhang, Chong Xu et al.
      Pages 191-202
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  1. Bioinformatics Research and Applications

Keywords

About this book

This book constitutes the proceedings of the 17th International Symposium on Bioinformatics Research and Applications, ISBRA 2021, held in Shenzhen, China, in November 2021.

The 51 full papers presented in this book were carefully reviewed and selected from 135 submissions. They were organized in topical sections named: AI and disease; computational proteomics; biomedical imaging; drug screening and drug-drug interaction prediction; Biomedical data; sequencing data analysis.

Editors and Affiliations

  • Shenzhen Institutes of Advanced Technology, Shenzhen, China

    Yanjie Wei

  • Central South University, Changsha, China

    Min Li

  • Georgia State University, Atlanta, USA

    Pavel Skums, Zhipeng Cai

Bibliographic Information

  • Book Title: Bioinformatics Research and Applications

  • Book Subtitle: 17th International Symposium, ISBRA 2021, Shenzhen, China, November 26–28, 2021, Proceedings

  • Editors: Yanjie Wei, Min Li, Pavel Skums, Zhipeng Cai

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/978-3-030-91415-8

  • Publisher: Springer Cham

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: Springer Nature Switzerland AG 2021

  • Softcover ISBN: 978-3-030-91414-1Published: 18 November 2021

  • eBook ISBN: 978-3-030-91415-8Published: 17 November 2021

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: XVI, 623

  • Number of Illustrations: 27 b/w illustrations, 178 illustrations in colour

  • Topics: Bioinformatics, Artificial Intelligence

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