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Computational Advances in Bio and Medical Sciences

11th International Conference, ICCABS 2021, Virtual Event, December 16–18, 2021, Revised Selected Papers

  • Conference proceedings
  • © 2022

Overview

Editors:
  1. Mukul S. Bansal

    1. University of Connecticut, Storrs, USA

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  2. Ion Măndoiu

    1. University of Connecticut, Storrs, USA

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  3. Marmar Moussa

    1. University of Connecticut Health Center, Farmington, USA

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  4. Murray Patterson

    1. Georgia State University, Atlanta, USA

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  5. Sanguthevar Rajasekaran

    1. University of Connecticut, Storrs, USA

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  6. Pavel Skums

    1. Georgia State University, Atlanta, USA

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  7. Alexander Zelikovsky

    1. Georgia State University, Atlanta, USA

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 13254)

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

Included in the following conference series:

Conference proceedings info: ICCABS 2021.

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Table of contents (13 papers)

  1. Front Matter

    Pages i-x
    Download chapter PDF

  2. Computational Advances in Bio and Medical Sciences

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. Single Model Quality Estimation of Protein Structures via Non-negative Tensor Factorization

      • Kazi Lutful Kabir, Manish Bhattarai, Boian S. Alexandrov, Amarda Shehu
      Pages 3-15

    3. Graph Representation Learning for Protein Conformation Sampling

      • Taseef Rahman, Yuanqi Du, Amarda Shehu
      Pages 16-28

    4. Excerno: Filtering Mutations Caused by the Clinical Archival Process in Sequencing Data

      • Audrey Mitchell, Marco Ruiz, Soua Yang, Chen Wang, Jaime Davila
      Pages 29-37

    5. Relabeling Metabolic Pathway Data with Groups to Improve Prediction Outcomes

      • Abdur Rahman M. A. Basher, Steven J. Hallam
      Pages 38-50

    6. MELEPS: Multiple Expert Linear Epitope Prediction System

      • An-Chi Shau, Nai-Shuan Hwang, Shu-Yu Chang, Hsin-Yiu Chou, Tun-Wen Pai
      Pages 51-62

    7. Encoder-Decoder Architectures for Clinically Relevant Coronary Artery Segmentation

      • João Lourenço-Silva, Miguel Nobre Menezes, Tiago Rodrigues, Beatriz Silva, Fausto J. Pinto, Arlindo L. Oliveira
      Pages 63-78

    8. Unified SAT-Solving for Hard Problems of Phylogenetic Network Construction

      • Dan Gusfield, Hannah Brown
      Pages 79-91

    9. Feature Selection for Identification of Risk Factors Associated with Infant Mortality

      • André Louzada Colodette, Fabiano Novaes Barcellos Filho, Gustavo Carreiro Pinasco, Sheila Cristina de Souza Cruz, Sérgio Nery Simões
      Pages 92-102

    10. Addressing Classification on Highly Imbalanced Clinical Datasets

      • Alexandre Babilone Fonseca, David Correa Martins-Jr, Zofia Wicik, Marek Postula, Sérgio Nery Simões
      Pages 103-114

    11. mcPBWT: Space-Efficient Multi-column PBWT Scanning Algorithm for Composite Haplotype Matching

      • Pramesh Shakya, Ardalan Naseri, Degui Zhi, Shaojie Zhang
      Pages 115-130

  3. Computational Advances in Molecular Epidemiology

    1. Front Matter

      Pages 131-131
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    2. Clustering SARS-CoV-2 Variants from Raw High-Throughput Sequencing Reads Data

      • Prakash Chourasia, Sarwan Ali, Simone Ciccolella, Gianluca Della Vedova, Murray Patterson
      Pages 133-148

    3. Analysis of SARS-CoV-2 Temporal Molecular Networks Using Global and Local Topological Characteristics

      • Fiona Senchyna, Rahul Singh
      Pages 149-162

    4. An SVM Based Approach to Study the Racial Disparity in Triple-Negative Breast Cancer

      • Bikram Sahoo, Seth Sims, Alexander Zelikovsky
      Pages 163-175

  4. Back Matter

    Pages 177-177
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Other volumes

  1. Computational Advances in Bio and Medical Sciences

Keywords

About this book

This book constitutes revised selected papers from the refereed proceedings of the 11th International Conference on Computational Advances in Bio and Medical Sciences, ICCABS 2021, held as a virtual event during December 16–18, 2021.

The 13 full papers included in this book were carefully reviewed and selected from 17 submissions. They were organized in topical sections as follows: Computational advances in bio and medical sciences; and computational advances in molecular epidemiology.



Editors and Affiliations

  • University of Connecticut, Storrs, USA

    Mukul S. Bansal, Ion Măndoiu, Sanguthevar Rajasekaran

  • University of Connecticut Health Center, Farmington, USA

    Marmar Moussa

  • Georgia State University, Atlanta, USA

    Murray Patterson, Pavel Skums, Alexander Zelikovsky

Bibliographic Information

  • Book Title: Computational Advances in Bio and Medical Sciences

  • Book Subtitle: 11th International Conference, ICCABS 2021, Virtual Event, December 16–18, 2021, Revised Selected Papers

  • Editors: Mukul S. Bansal, Ion Măndoiu, Marmar Moussa, Murray Patterson, Sanguthevar Rajasekaran, Pavel Skums, Alexander Zelikovsky

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/978-3-031-17531-2

  • Publisher: Springer Cham

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

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2022

  • Softcover ISBN: 978-3-031-17530-5Published: 19 October 2022

  • eBook ISBN: 978-3-031-17531-2Published: 18 October 2022

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: X, 177

  • Number of Illustrations: 9 b/w illustrations, 50 illustrations in colour

  • Topics: Computer Applications, Special Purpose and Application-Based Systems, Computer Imaging, Vision, Pattern Recognition and Graphics, Machine Learning

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