Author

Stephen M. Richardson

Manchester Academic Health Science CentreORCID 0000-0002-7637-4135Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Cell Biology· 1

Signature Assays, Organisms & Methods

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Organism:human· 2 Approach:Bayesian inference· 1 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Research Focus:differential expression· 1 Approach:experimental assay· 1 Research Focus:protein structure prediction· 1

Frequent Co-Authors

Anne CamusiD· 1 shared Benjamin GantenbeiniD· 1 shared Bluwen Guidoux-D’halluin· 1 shared Caroline Chariau· 1 shared Christabel Thembela DubeiD· 1 shared Claire Chédeville· 1 shared Clemence Maillard· 1 shared Jean-Marc Lemaı̂treiD· 1 shared

Activity by Year

2020-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 36 mutual co-author links

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1 shared paperCell Biology

Anne CamusORCID

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2 papers

Recent·Most cited

Cell BiologybioRxivPreprintOct 6, 2026

Recapitulating the notochord to nucleus pulposus transition from human mesendoderm progenitors in 3D

Julie Warin, Nicolas Védrenne, Bluwen Guidoux-D’halluin…·Anne Camus

This study develops a 3D model to recapitulate the transition from human mesendoderm progenitors to nucleus pulposus-like cells using single-cell transcriptomics and spatial profiling.

DOI 10.64898/2026.10.05.756547

humanbulk RNA-seq

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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

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