Research in Computational Molecular Biology: 27th Annual International Conference, RECOMB 2023, Istanbul, Turkey, April 1619, 2023, Proceedings 1st ed. 2023 [Pehme köide]

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.