Central Library

Normal view MARC view ISBD view

Computational Advances in Bio and Medical Sciences [electronic resource] : 11th International Conference, ICCABS 2021, Virtual Event, December 16-18, 2021, Revised Selected Papers / edited by Mukul S. Bansal, Ion Măndoiu, Marmar Moussa, Murray Patterson, Sanguthevar Rajasekaran, Pavel Skums, Alexander Zelikovsky.

Contributor(s): Bansal, Mukul S [editor.] | Măndoiu, Ion [editor.] | Moussa, Marmar [editor.] | Patterson, Murray [editor.] | Rajasekaran, Sanguthevar [editor.] | Skums, Pavel [editor.] | Zelikovsky, Alexander [editor.] | SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Lecture Notes in Bioinformatics: 13254Publisher: Cham : Springer International Publishing : Imprint: Springer, 2022Edition: 1st ed. 2022.Description: X, 177 p. 59 illus., 50 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783031175312.Subject(s): Application software | Computers, Special purpose | Image processing -- Digital techniques | Computer vision | Machine learning | Computer and Information Systems Applications | Special Purpose and Application-Based Systems | Computer Imaging, Vision, Pattern Recognition and Graphics | Machine LearningAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 005.3 Online resources: Click here to access online
Contents:
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.
In: Springer Nature eBookSummary: 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.
    average rating: 0.0 (0 votes)
No physical items for this record

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.

There are no comments for this item.

Log in to your account to post a comment.