Buch
Research in Computational Molecular Biology
-27th Annual International Conference, RECOMB 2023, Istanbul, Turkey, April 16–19, 2023, Proceedings-Haixu Tang (Hrsg.)
40,65
EUR
Lieferzeit 12-13 Tage
Übersicht
Verlag | : | Springer International Publishing |
Buchreihe | : | Lecture Notes in Computer Science, Lecture Notes in Bioinformatics |
Sprache | : | Englisch |
Erschienen | : | 24. 03. 2023 |
Seiten | : | 283 |
Einband | : | Kartoniert |
Höhe | : | 235 mm |
Breite | : | 155 mm |
Gewicht | : | 468 g |
ISBN | : | 9783031291180 |
Sprache | : | Englisch |
Illustrationen | : | XVII, 283 p. 65 illus., 63 illus. in color. |
Inhaltsverzeichnis
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.