소장자료
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020 | ▼a9783031291197▼9978-3-031-29119-7▲ | ||
024 | 7 | ▼a10.1007/978-3-031-29119-7▼2doi▲ | |
050 | 4 | ▼aQA76.76.A65▲ | |
082 | 0 | 4 | ▼a005.3▼223▲ |
245 | 1 | 0 | ▼aResearch in Computational Molecular Biology▼h[electronic resource] :▼b27th Annual International Conference, RECOMB 2023, Istanbul, Turkey, April 16–19, 2023, Proceedings /▼cedited by Haixu Tang.▲ |
250 | ▼a1st ed. 2023.▲ | ||
264 | 1 | ▼aCham :▼bSpringer Nature Switzerland :▼bImprint: Springer,▼c2023.▲ | |
300 | ▼aXVII, 283 p. 65 illus., 63 illus. in color.▼bonline resource.▲ | ||
336 | ▼atext▼btxt▼2rdacontent▲ | ||
337 | ▼acomputer▼bc▼2rdamedia▲ | ||
338 | ▼aonline resource▼bcr▼2rdacarrier▲ | ||
347 | ▼atext file▼bPDF▼2rda▲ | ||
490 | 1 | ▼aLecture Notes in Bioinformatics,▼x2366-6331 ;▼v13976▲ | |
505 | 0 | ▼aVStrains: De Novo Reconstruction of Viral Strains via Iterative Path Extraction From Assembly Graphs -- Spectrum preserving tilings enable sparse and modular reference indexing -- Statistically Consistent Rooting of Species Trees under the Multispecies Coalescent Model -- Sequence to graph alignment using gap-sensitive co-linear chaining -- DM-Net: A Dual-Model Network for Automated Biomedical Image Diagnosis -- MTGL-ADMET: A Novel Multi-Task Graph Learning Framework for ADMET Prediction Enhanced by Status-Theory and Maximum Flow -- CDGCN: Conditional de novo Drug generative model using Graph Convolution Networks -- Percolate: an exponential family JIVE model to design DNA-based predictors of drug response -- Translation rate prediction and regulatory motif discovery with multi-task learning -- Computing shortest hyperpaths for pathway inference in cellular reaction networks -- T-Cell Receptor Optimization with Reinforcement Learning and Mutation Polices for Precision Immunotherapy.▲ | |
520 | ▼aThis book constitutes the refereed proceedings of the 27th Annual International Conference on Research in Computational Molecular Biology, RECOMB 2023, held in Istanbul, Turkey, during April 16–19, 2023. The 11 regular and 33 short papers presented in this book were carefully reviewed and selected from 188 submissions. The papers report on original research in all areas of computational molecular biology and bioinformatics.▲ | ||
650 | 0 | ▼aApplication software.▲ | |
650 | 1 | 4 | ▼aComputer and Information Systems Applications.▲ |
700 | 1 | ▼aTang, Haixu.▼eeditor.▼4edt▼4http://id.loc.gov/vocabulary/relators/edt▲ | |
710 | 2 | ▼aSpringerLink (Online service)▲ | |
773 | 0 | ▼tSpringer Nature eBook▲ | |
776 | 0 | 8 | ▼iPrinted edition:▼z9783031291180▲ |
776 | 0 | 8 | ▼iPrinted edition:▼z9783031291203▲ |
830 | 0 | ▼aLecture Notes in Bioinformatics,▼x2366-6331 ;▼v13976▲ | |
856 | 4 | 0 | ▼uhttps://doi.org/10.1007/978-3-031-29119-7▲ |
Research in Computational Molecular Biology[electronic resource] : 27th Annual International Conference, RECOMB 2023, Istanbul, Turkey, April 16–19, 2023, Proceedings
자료유형
국외eBook
서명/책임사항
Research in Computational Molecular Biology [electronic resource] : 27th Annual International Conference, RECOMB 2023, Istanbul, Turkey, April 16–19, 2023, Proceedings / edited by Haixu Tang.
개인저자
판사항
1st ed. 2023.
형태사항
XVII, 283 p. 65 illus., 63 illus. in color. online resource.
총서사항
Lecture Notes in Bioinformatics , 2366-6331 ; 13976
Lecture Notes in Bioinformatics , 2366-6331 ; 13976
Lecture Notes in Bioinformatics , 2366-6331 ; 13976
내용주기
VStrains: De Novo Reconstruction of Viral Strains via Iterative Path Extraction From Assembly Graphs -- Spectrum preserving tilings enable sparse and modular reference indexing -- Statistically Consistent Rooting of Species Trees under the Multispecies Coalescent Model -- Sequence to graph alignment using gap-sensitive co-linear chaining -- DM-Net: A Dual-Model Network for Automated Biomedical Image Diagnosis -- MTGL-ADMET: A Novel Multi-Task Graph Learning Framework for ADMET Prediction Enhanced by Status-Theory and Maximum Flow -- CDGCN: Conditional de novo Drug generative model using Graph Convolution Networks -- Percolate: an exponential family JIVE model to design DNA-based predictors of drug response -- Translation rate prediction and regulatory motif discovery with multi-task learning -- Computing shortest hyperpaths for pathway inference in cellular reaction networks -- T-Cell Receptor Optimization with Reinforcement Learning and Mutation Polices for Precision Immunotherapy.
요약주기
This book constitutes the refereed proceedings of the 27th Annual International Conference on Research in Computational Molecular Biology, RECOMB 2023, held in Istanbul, Turkey, during April 16–19, 2023. The 11 regular and 33 short papers presented in this book were carefully reviewed and selected from 188 submissions. The papers report on original research in all areas of computational molecular biology and bioinformatics.
ISBN
9783031291197
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