Author

Thelonious Omori

John Innes Centre

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

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Bioinformatics· 1

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Approach:Bayesian inference· 1 Assay:bulk RNA-seq· 1 Research Focus:differential expression· 1

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Franziska HoerbstiD· 1 shared Gurpinder Singh SidhuiD· 1 shared Melissa TomkinsiD· 1 shared Richard James MorrisiD· 1 shared

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2025-2025 · peak 1/yr

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1 shared paperBioinformatics

Franziska HoerbstORCID

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1 paper

Recent·Most cited

A Bayesian framework for ranking genes based on their statistical evidence for differential expression

Franziska Hoerbst, Gurpinder Singh Sidhu, Thelonious Omori, Melissa Tomkins, Richard James Morris

This paper introduces a Bayesian framework for differential gene expression analysis that ranks genes based on statistical evidence rather than binary classification, improving transparency and computational efficiency.

bioRxiv · Jan 20, 2025 · PreprintBioinformatics