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 MutationPolices for Precision Immunotherapy.

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• Biologia, ciências da vida
• Biologia molecular
• Modelagem computacional e simulação

Bioinformatics;Computational Biology;Algorithms;Machine Learning;Genetics;Sequence Comparison;Fragment Assembly;Transcriptomics;Phylogenetics;Spatial Genomics;Single-cell Sequencing;Cancer Genomics;Drug Discovery;Deep Learning;Systems Biology;Gene Regulatory Networks;Non-coding RNAs;Computational Structural Biology;Protein-protein Interaction;Genome Privacy