Author

Tim Maughan

University of OxfordORCID 0000-0002-0580-5065Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 3 Research Focus:differential expression· 3 Approach:experimental assay· 2 Organism:human· 2 Research Focus:software / tool· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1

Frequent Co-Authors

Andrew D. CampbelliD· 2 shared Keara L. RedmondiD· 2 shared Mark LawleriD· 2 shared Owen James SansomiD· 2 shared Philip D. DunneiD· 2 shared Raheleh AmirkhahiD· 2 shared Simon John LeedhamiD· 2 shared Sudhir B. MallaiD· 2 shared

Activity by Year

2017-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 36 mutual co-author links

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2 shared papersCancer Biology

Andrew D. CampbellORCID

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3 papers

Recent·Most cited

Viral mimicry redirects immunosuppressed colorectal tumour landscapes towards a proinflammatory and CMS1-like regenerative state

Shania M. Corry, Svetlana S. Sakhnevych, Noha Ehssan Mohamed, Sudhir B. Malla, Ryan M. Byrne, Andrew Young, Raheleh Amirkhah, Courtney Bull, Andrea Lees, Keara L. Redmond, Tamsin R.M. Lannagan, Rachel A. Ridgway, Fiona R Taggart, Natalie C. Fisher, Tim Maughan, , Philip D. Dunne

This study shows that poly(I:C) treatment in CMS4 colorectal tumors induces a pro-inflammatory, CMS1-like regenerative state and identifies biomarkers for predicting therapeutic response.

Communications Biology · May 26, 2026Peer-reviewedCancer Biology

The Molecular Subtyping Resource (MouSR): a user-friendly tool for rapid biological discovery from human or mouse transcriptional data

Baharak Ahmaderaghi, Raheleh Amirkhah, James Jackson, Tamsin R.M. Lannagan, Kathryn L. Gilroy, Sudhir B. Malla, Keara L. Redmond, Gerard P. Quinn, Simon S. McDade, Tim Maughan, Simon John Leedham, Andrew D. Campbell, Owen James Sansom, Mark Lawler, Philip D. Dunne

MouSR is an open-source tool for rapid transcriptomic analysis of human or mouse data, enabling biological discovery without programming expertise.

Disease Models & Mechanisms · Feb 3, 2022Peer-reviewedBioinformatics

sigQC: A procedural approach for standardising the evaluation of gene signatures

Andrew Dhawan, Alessandro Barberis, Wei‐Chen Cheng, Enric Domingo, Catharine West, Tim Maughan, Jacob G. Scott, Adrian Llewellyn Harris, Francesca Meteora Buffa

This paper introduces sigQC, an R package that standardizes gene signature quality control, demonstrating its application in evaluating signatures on cancer gene expression data.

bioRxiv · Nov 13, 2017 · PreprintBioinformatics