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

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Computational Advances in Bio and Medical Sciences/ edited by Mukul S. Bansal, Ion Măndoiu, Marmar Moussa, Murray Patterson, Sanguthevar Rajasekaran, Pavel Skums, Alexander Zelikovsky.
其他題名:	11th International Conference, ICCABS 2021, Virtual Event, December 16–18, 2021, Revised Selected Papers /
其他作者:	Zelikovsky, Alexander.
面頁冊數:	X, 177 p. 59 illus., 50 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Machine Learning. -
電子資源:	https://doi.org/10.1007/978-3-031-17531-2
ISBN:	9783031175312

Computational Advances in Bio and Medical Sciences = 11th International Conference, ICCABS 2021, Virtual Event, December 16–18, 2021, Revised Selected Papers /
Computational Advances in Bio and Medical Sciences11th International Conference, ICCABS 2021, Virtual Event, December 16–18, 2021, Revised Selected Papers /[electronic resource] :edited by Mukul S. Bansal, Ion Măndoiu, Marmar Moussa, Murray Patterson, Sanguthevar Rajasekaran, Pavel Skums, Alexander Zelikovsky. - 1st ed. 2022. - X, 177 p. 59 illus., 50 illus. in color.online resource. - Lecture Notes in Bioinformatics,132542366-6331 ;. - Lecture Notes in Bioinformatics,12881.

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.

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.

ISBN: 9783031175312

Standard No.: 10.1007/978-3-031-17531-2doiSubjects--Topical Terms:

1137723
Machine Learning.

LC Class. No.: QA76.76.A65

Dewey Class. No.: 005.3

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