Author

Venkatesh Mallikarjun

Manchester Academic Health Science CentreORCID 0000-0002-0284-5205Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2 Molecular Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:differential expression· 3 Assay:proteomics· 3 Approach:Bayesian inference· 2 Research Focus:benchmarking· 2 Organism:human· 2 Research Focus:protein structure prediction· 2 Approach:statistical model· 2 Research Focus:deconvolution· 1

Frequent Co-Authors

Joe SwiftiD· 2 shared Alexander EckersleyiD· 1 shared Andrew Michael FreyiD· 1 shared Christopher E.M. GriffithsiD· 1 shared David KnightiD· 1 shared Emmanuel Olusegun OgundimuiD· 1 shared Kieran T. MellodyiD· 1 shared Matiss OzolsiD· 1 shared

Activity by Year

2020-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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2 shared papersMolecular Biology

Joe SwiftORCID

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3 papers

Recent·Most cited

BioinformaticsMolecular & Cellular ProteomicsPeer-reviewedOct 1, 2026

Empirical-Bayes and Bayesian Hierarchical Modelling forMissingness and Differential Expression in Proteomics

Mengchun Li, Venkatesh Mallikarjun, Andrew Michael Frey…·Matthias Trost

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.

DOI 10.1016/j.mcpro.2026.101677

proteomicsBayesian inference

Molecular BiologyAging CellPeer-reviewedApr 8, 2021

Peptide location fingerprinting reveals modification-associated biomarkers of ageing in human tissue proteomes

Matiss Ozols, Alexander Eckersley, Kieran T. Mellody…·Michael J. Sherratt

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

30 citations

humanproteomics

BioinformaticsJournal of Proteome ResearchPeer-reviewedApr 22, 2020

BayesENproteomics: Bayesian elastic nets for quantification of proteoforms in complex samples

Venkatesh Mallikarjun, Stephen M. Richardson, Joe Swift

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

12 citations

humanproteomics