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.