Computational Advances in Bio and Medical Sciences

Chapter 1 Single Model Quality Estimation of Protein Structures via Non-negative Tensor Factorization

Chapter 3 Excerno: Filtering Mutations Caused by the Clinical Archival Process in Sequencing Data

Chapter 4 Relabeling Metabolic Pathway Data with Groups to Improve Prediction Outcomes

Chapter 5 MELEPS: Multiple Expert Linear Epitope Prediction System

Chapter 6 Encoder-Decoder Architectures for Clinically Relevant Coronary Artery Segmentation

Chapter 7 Unified SAT-Solving for Hard Problems of Phylogenetic Network Construction

Chapter 8 Feature Selection for Identification of Risk Factors Associated with Infant Mortality

Chapter 9 Addressing Classification on Highly Imbalanced Clinical Datasets

Chapter 10 mcPBWT: Space-Efficient Multi-column PBWT Scanning Algorithm for Composite Haplotype Matching

Chapter 11 Clustering SARS-CoV-2 Variants from Raw High-Throughput Sequencing Reads Data

Chapter 12 Analysis of SARS-CoV-2 Temporal Molecular Networks Using Global and Local Topological Characteristics

Chapter 13 An SVM Based Approach to Study the Racial Disparity in Triple-Negative Breast Cancer