Venkatesh Mallikarjun

The paper introduces a hierarchical Bayesian model to handle missing data and improve differential expression analysis in proteomics by accounting for uncertainty in missing values.

The paper identifies age-related biomarkers in human skin and tendon proteomes using peptide location fingerprinting and a new webtool.

This paper introduces BayesENproteomics, a Bayesian elastic net method for quantifying proteoforms, showing improved accuracy in protein abundance and PTM quantification across dynamic ranges.

This study examines how aging and estrogen deficiency affect skin matrix composition and mechanics in mice, finding contrasting effects on tensile strength and collagen levels.