Pankaj Agarwal

Comprehensive Guide of Epigenetics and Transcriptomics Data Quality Control

This paper provides a comprehensive guide for quality control metrics and mitigation strategies for 11 epigenetics and transcriptomics assays to improve exposure signature discovery.

Pathway analysis of GWAS loci identifies novel drug targets and repurposing opportunities

This study uses pathway analysis of GWAS loci to identify novel drug targets and repurposing opportunities for 182 diseases, finding that 30% of diseases have significantly more targets in these pathways than expected by chance.

Predicting clinically promising therapeutic hypotheses using tensor factorization

The paper uses tensor factorization to predict successful therapeutic target-indication pairs by analyzing clinical trial data and comparing performance with other machine learning models.

Systematic interrogation of diverse Omic data reveals interpretable, robust, and generalizable transcriptomic features of clinically successful therapeutic targets

The paper identifies transcriptomic features of therapeutic targets that predict clinical success using Omic data and machine learning.