M. Pillai

Androgen Receptor driven gene score identifies tumors with Epithelial to Mesenchymal Transition features in triple negative breast cancer

The paper develops an AR-driven gene score to identify tumors with EMT features in triple-negative breast cancer, finding AR high tumors have better clinical outcomes and higher EMT marker expression.

Emergent dynamics of underlying regulatory network links EMT and androgen receptor-dependent resistance in prostate cancer

The paper models a regulatory network linking EMT and AR resistance in prostate cancer, identifying four phenotypes and showing stochastic switching between states.

Mapping phenotypic heterogeneity in melanoma onto the epithelial-hybrid-mesenchymal axis

This study maps phenotypic heterogeneity in melanoma onto the epithelial-hybrid-mesenchymal axis, showing a biphasic mesenchymal response during de-differentiation and metabolic shifts.

Computational analysis reveals similarities and differences between SCLC subtypes

The paper analyzes SCLC subtypes using gene expression data to determine their similarities and differences, identifying co-expressed modules and classifying cell lines into clusters.

Improved Metabolite Prediction Using Microbiome Data-Based Elastic Net Models

The paper develops ENVIM, an Elastic Net Model-based method for predicting metabolites from microbiome data, showing improved accuracy over existing methods in oral, gut, and vaginal microbiome datasets.