Jasleen Grewal

EGGNet is a geometric deep learning framework for predicting molecule-protein interactions, achieving competitive performance on binding affinity and interface prediction tasks.

The paper describes the development of CIViCmine, a text-mining tool that extracts clinically relevant cancer biomarkers from literature to aid curation into the CIViC database.

CancerMine compiles text-mined cancer gene annotations and provides a resource for gene-centric cancer type clustering validated against TCGA data.

The paper introduces Galaxy tools for analyzing cancer genomics data, demonstrating their use in discovering new lymphoma-related genes from a cohort of 96 diffuse large B-cell lymphomas.