Research in Computational Molecular Biology

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.