Author

Mohammed Baragilly

University of BirminghamORCID 0000-0003-4775-4742Unclaimed 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:benchmarking· 1 Research Focus:cell type annotation· 1 Approach:experimental assay· 1 Assay:imaging· 1 Approach:simulation· 1 Research Focus:spatial domain detection· 1 Approach:statistical model· 1

Frequent Co-Authors

A. Lopez Garcia· 1 shared Brian Harvey WillisiD· 1 shared Daniel J. NievesiD· 1 shared Daniel M. DavisiD· 1 shared David J. WilliamsoniD· 1 shared Dylan M. OweniD· 1 shared Ezra BruggemaniD· 1 shared H. Abbott· 1 shared

Activity by Year

2022-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 36 mutual co-author links

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1 shared paperBiophysics

A. Lopez Garcia

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2 papers

Recent·Most cited

BiophysicsNature CommunicationsPeer-reviewedSep 30, 2025

Nano-org, a functional resource for single-molecule localisation microscopy data

Sandeep Shirgill, Daniel J. Nieves, Jeremy Andrew Pike…·Dylan M. Owen

Nano-org provides a curated resource of single-molecule localisation microscopy data for studying protein nanoscale distributions and their relationships across cell types and conditions.

5 citations

imagingexperimental assay

𝕏 PostBluesky

BioinformaticsbioRxivPreprintDec 5, 2022

Optimising a coordinate ascent algorithm for the meta-analysis of test accuracy studies

Mohammed Baragilly, Brian Harvey Willis

This paper compares closed-form and numerical methods for estimating initial values in a bivariate random effects model for meta-analysis of test accuracy studies, finding closed-form methods reduce computation time by 80%.

1 citation

statistical modelsimulation

𝕏 PostBluesky