Computational Advances in Bio and Medical Sciences : 11th International Conference, ICCABS 2021, Virtual Event, December 16–18, 2021, Revised Selected Papers / edited by Mukul S. Bansal, Ion Măndoiu, Marmar Moussa, Murray Patterson, Sanguthevar Rajasekaran, Pavel Skums, Alexander Zelikovsky.

Format:

Book

Contributor:

Bansal, Mukul S., editor.

Series:

Lecture Notes in Bioinformatics, 2366-6331 ; 13254

Language:

English

Subjects (All):

Application software.

Computers, Special purpose.

Image processing--Digital techniques.

Image processing.

Computer vision.

Machine learning.

Computer and Information Systems Applications.

Special Purpose and Application-Based Systems.

Computer Imaging, Vision, Pattern Recognition and Graphics.

Machine Learning.

Local Subjects:

Computer and Information Systems Applications.

Special Purpose and Application-Based Systems.

Computer Imaging, Vision, Pattern Recognition and Graphics.

Machine Learning.

Physical Description:

1 online resource (184 pages)

Edition:

1st ed. 2022.

Place of Publication:

Cham : Springer International Publishing : Imprint: Springer, 2022.

Summary:

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.

Contents:

Computational Advances in Bio and Medical Sciences

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

Graph Representation Learning for Protein Conformation Sampling

Excerno: Filtering mutations caused by the clinical archival process in sequencing data

Relabeling metabolic pathway data with groups to improve prediction outcomes

MELEPS: Multiple Expert Linear Epitope Prediction System

Encoder-Decoder Architectures for Clinically Relevant Coronary Artery Segmentation

Unified SAT-Solving for Hard Problems of Phylogenetic Network Construction

Feature Selection for Identification of Risk Factors Associated with Infant Mortality

Addressing classification on highly imbalanced clinical datasets

mcPBWT: Space-efficient Multi-column PBWT Scanning Algorithm for Composite Haplotype Matching

Computational Advances in Molecular Epidemiology

Clustering SARS-CoV-2 Variants from Raw High-Throughput Sequencing Reads Data.-Analysis of SARS-CoV-2 temporal molecular networks using global and local topological characteristics

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

Notes:

Includes index.

Other Format:

Print version: Bansal, Mukul S. Computational Advances in Bio and Medical Sciences

ISBN:

9783031175312

303117531X