Computational Advances in Bio and Medical Sciences - 11th International Conference, ICCABS 2021, Virtual Event, December 16-18, 2021, Revised Selected Papers

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.

List of 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.

Product details

• Assisted by: Mukul S. Bansal (Editor), Ion M¿ndoiu (Editor), Ion Mandoiu (Editor), Marmar Moussa (Editor), Marmar Moussa et al (Editor), Murray Patterson (Editor), Sanguthevar Rajasekaran (Editor), Pavel Skums (Editor), Alexander Zelikovsky (Editor)
• Publisher: Springer, Berlin
• Languages: English
• Product format: Paperback / Softback
• Released: 19.10.2022
• EAN: 9783031175305
• ISBN: 978-3-0-3117530-5
• No. of pages: 177
• Dimensions: 155 mm x 10 mm x 235 mm
• Illustrations: X, 177 p. 59 illus., 50 illus. in color.
• Series: Lecture Notes in Computer Science; Lecture Notes in Bioinformatics
• Subject: Natural sciences, medicine, IT, technology > IT, data processing > Application software