Banabithi Bose

The paper identifies sex-specific genetic loci for clinical traits using EHR data, finding that differential effect magnitudes, not opposing effects, dominate sex-specific genetic architecture.

GXwasR provides tools for sex-aware genetic analysis in GWAS and XWAS, enabling sex-differentiated effects and polygenic risk scores.

PDDRNet-MH predicts personalized drug responses in breast cancer by integrating multi-omics data and drug information, achieving high accuracy for several FDA-approved drugs.

The paper evaluates cell lines across 22 cancer types to find those most similar to patient tumor samples using multi-omics data, immune cell presence, and cancer pathways, showing they can recapitulate drug responses.

CTDPathSim computes similarity between tumor samples and cell lines using multi-omics data to improve drug response prediction and guide personalized cancer therapies.

miRDriver identifies copy number-derived miRNA-gene regulatory interactions in cancer using integrated genomic data and outperforms existing methods.