Del 13254 i serien Lecture Notes in Computer Science

Computational Advances in Bio and Medical Sciences

11th International Conference, ICCABS 2021, Virtual Event, December 16–18, 2021, Revised Selected Papers

Häftad, Engelska, 2022

AvMukul S. Bansal,Ion Măndoiu,Marmar Moussa,Murray Patterson,Sanguthevar Rajasekaran,Pavel Skums,Alexander Zelikovsky

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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.

Produktinformation

Utgivningsdatum2022-10-19
Mått155 x 235 x 11 mm
Vikt295 g
FormatHäftad
SpråkEngelska
SerieLecture Notes in Computer Science
Antal sidor177
FörlagSpringer International Publishing AG
ISBN9783031175305

Tillhör följande kategorier

Tillämpad datateknik inom Data och IT
Systemvetenskap och AI inom Data och IT

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.

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