Author

Andrew H. Sims

Edinburgh Cancer ResearchORCID 0000-0001-9082-3665Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:differential expression· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Assay:ChIP-seq· 1 Research Focus:database / resource· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1

Frequent Co-Authors

Abdelkader Essafi· 1 shared Ajit J. NirmaliD· 1 shared Alexander L. R. LubbockiD· 1 shared Bret S.E. HealeiD· 1 shared Dominic Pearce· 1 shared Erola Pairo‐CastineiraiD· 1 shared Ian M. OvertoniD· 1 shared Jeremy A. OweniD· 1 shared

Activity by Year

2018-2020 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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1 shared paperSystems Biology

Abdelkader Essafi

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2 papers

Recent·Most cited

Systems BiologyCancersPeer-reviewedSep 30, 2020

Functionally Coherent Transcription Factor Target Networks Illuminate Control of Epithelial Remodelling

Ian M. Overton, Andrew H. Sims, Jeremy A. Owen…·Abdelkader Essafi

The paper introduces NetNC, a tool to identify functionally coherent TF targets, showing it effectively finds neutral binding and reveals new gene functions in EMT processes.

9 citations

humanmouse

𝕏 PostBluesky

BioinformaticsbioRxivPreprintMar 2, 2018

Continuous Biomarker Assessment by Exhaustive Survival Analysis

Dominic Pearce, Ajit J. Nirmal, Tom C. Freeman, Andrew H. Sims

The paper introduces survivALL, an R package for continuous biomarker assessment through survival analysis, enabling reliable evaluation of gene expression cut-points across datasets.

26 citations

bulk RNA-seqstatistical model

𝕏 PostBluesky