T. Agarwal

Genome-wide, Organ-delimited gene regulatory networks (OD-GRNs) provide high accuracy in candidate TF selection across diverse processes.

The paper develops a machine learning framework to create organ-specific gene expression datasets and infer gene regulatory networks, achieving high accuracy in predicting transcription factors regulating organ-specific processes.

Gibbs Process Determines Survival and Reveals Contact-Inhibition Genes in Glioblastoma Multiforme

The paper applies a Gibbs process to glioblastoma images and RNAseq data to identify contact-inhibition genes and link them to patient survival.