Research in Computational Molecular Biology: 27th Annual International Conference, RECOMB 2023, Istanbul, Turkey, April 16–19, 2023, Proceedings: Lecture Notes in Computer Science, cartea 13976
Editat de Haixu Tangen Limba Engleză Paperback – 24 mar 2023
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.
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Specificații
ISBN-13: 9783031291180
ISBN-10: 3031291182
Pagini: 283
Ilustrații: XVII, 283 p. 65 illus., 63 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.43 kg
Ediția:1st ed. 2023
Editura: Springer Nature Switzerland
Colecția Springer
Seriile Lecture Notes in Computer Science, Lecture Notes in Bioinformatics
Locul publicării:Cham, Switzerland
ISBN-10: 3031291182
Pagini: 283
Ilustrații: XVII, 283 p. 65 illus., 63 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.43 kg
Ediția:1st ed. 2023
Editura: Springer Nature Switzerland
Colecția Springer
Seriile Lecture Notes in Computer Science, Lecture Notes in Bioinformatics
Locul publicării:Cham, Switzerland
Cuprins
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 MutationPolices for Precision Immunotherapy.