Computational Advances in Bio and Medical Sciences
portes grátis
Computational Advances in Bio and Medical Sciences
11th International Conference, ICCABS 2021, Virtual Event, December 16-18, 2021, Revised Selected Papers
Zelikovsky, Alexander; Skums, Pavel; Mandoiu, Ion; Moussa, Marmar; Patterson, Murray; Rajasekaran, Sanguthevar; Bansal, Mukul S.
Springer International Publishing AG
10/2022
177
Mole
Inglês
9783031175305
15 a 20 dias
296
Descrição não disponível.
?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.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
artificial intelligence;bioinformatics;biological networks;cancer genomics;computational biology;computer networks;correlation analysis;data mining;functional genomics;Gene enrichment analysis;Genome assembly;Graph algorithms;image analysis;Interaction networks;machine learning;Microbiome analysis;Protein structure prediction;Sequence alignment;signal processing;Single-cell sequencing data analysis
?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.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
artificial intelligence;bioinformatics;biological networks;cancer genomics;computational biology;computer networks;correlation analysis;data mining;functional genomics;Gene enrichment analysis;Genome assembly;Graph algorithms;image analysis;Interaction networks;machine learning;Microbiome analysis;Protein structure prediction;Sequence alignment;signal processing;Single-cell sequencing data analysis
