Author

Ritesh V. Krishna

Sci-Tech Daresbury

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 1 Research Focus:differential expression· 1 Organism:human· 1 Approach:statistical model· 1

Frequent Co-Authors

Anna Paola CarrieriiD· 1 shared Ashley J. EvansiD· 1 shared Charles H. KnowlesiD· 1 shared James Strudwick· 1 shared Jennifer KellyiD· 1 shared Joao H. Bettencourt‐SilvaiD· 1 shared Laura‐Jayne GardineriD· 1 shared Matthew MadgwickiD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperBioinformatics

Anna Paola CarrieriORCID

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1 paper

Recent·Most cited

RNA foundation models enable generalizable endometriosis disease classification and stable gene-level interpretation

Niccolò McConnell, Jennifer Kelly, Ravikanth Tadikonda, Natasha Mulligan, Joao H. Bettencourt‐Silva, Matthew Madgwick, Ritesh V. Krishna, James Strudwick, Ashley J. Evans, Stephen Checkley, Anna Paola Carrieri, Michalis Smyrnakis, Charles H. Knowles, Laura‐Jayne Gardiner

This paper uses RNA foundation models to improve endometriosis classification across cohorts and identifies stable gene-level predictors.

bioRxiv · Feb 25, 2026 · PreprintBioinformatics