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Research in computational molecular ...

RECOMB (Conference : 2005- ) (2023 :)

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Research in computational molecular biology = 27th Annual International Conference, RECOMB 2023, Istanbul, Turkey, April 16-19, 2023 : proceedings /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Research in computational molecular biology/ edited by Haixu Tang.
其他題名:	27th Annual International Conference, RECOMB 2023, Istanbul, Turkey, April 16-19, 2023 : proceedings /
其他題名:	RECOMB 2023
其他作者:	Tang, Haixu.
團體作者:	RECOMB (Conference : 2005- )
出版者:	Cham :Springer Nature Switzerland : : 2023.,
面頁冊數:	xvii, 283 p. :ill. (some col.), digital ;24 cm.
內容註:	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.
Contained By:	Springer Nature eBook
標題:	Computational biology - Congresses. -
電子資源:	https://doi.org/10.1007/978-3-031-29119-7
ISBN:	9783031291197

Research in computational molecular biology = 27th Annual International Conference, RECOMB 2023, Istanbul, Turkey, April 16-19, 2023 : proceedings /
Research in computational molecular biology27th Annual International Conference, RECOMB 2023, Istanbul, Turkey, April 16-19, 2023 : proceedings /[electronic resource] :RECOMB 2023edited by Haixu Tang. - Cham :Springer Nature Switzerland :2023. - xvii, 283 p. :ill. (some col.), digital ;24 cm. - Lecture notes in computer science,139761611-3349 ;. - Lecture notes in computer science ;13976..

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.

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

Standard No.: 10.1007/978-3-031-29119-7doiSubjects--Topical Terms:

893170
Computational biology
--Congresses.

LC Class. No.: QH324.2 / .R43 2023

Dewey Class. No.: 570.285

Research in computational molecular biology = 27th Annual International Conference, RECOMB 2023, Istanbul, Turkey, April 16-19, 2023 : proceedings /
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