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.
Inhaltsverzeichnis
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.
