Computational Advances in Bio and Medical Sciences

11th International Conference, ICCABS 2021, Virtual Event, December 16¿18, 2021, Revised Selected Papers
Herausgegeben:Bansal, Mukul S.; Mandoiu, Ion; Moussa, Marmar; Patterson, Murray; Rajasekaran, Sanguthevar; Skums, Pavel; Zelikovsky, Alexander

• Broschiertes Buch

Produktbeschreibung

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.

Produktdetails

• Lecture Notes in Computer Science 13254
• Verlag: Springer / Springer International Publishing / Springer, Berlin
• Artikelnr. des Verlages: 978-3-031-17530-5
• 1st ed. 2022
• Seitenzahl: 188
• Erscheinungstermin: 19. Oktober 2022
• Englisch
• Abmessung: 235mm x 155mm x 11mm
• Gewicht: 295g
• ISBN-13: 9783031175305
• ISBN-10: 3031175301
• Artikelnr.: 65380035

Inhaltsangabe

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.