Author

Muhammad Umar

Gulf University for Science & TechnologyPrimary ORCID profile (0000-0002-7634-5801 · 1 paper)Unclaimed ORCID profile · follow to get notified of new preprints

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Muhammad UmariD1 paper

Biology Disciplines

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Bioinformatics· 1 Biophysics· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Approach:benchmark study· 1 Research Focus:benchmarking· 1 Assay:scRNA-seq· 1

Frequent Co-Authors

András LakatosiD· 1 shared André LamúriasiD· 1 shared Ard A. LouisiD· 1 shared Guilherme Pocas· 1 shared Kamaludin DingleiD· 1 shared Martin HembergiD· 1 shared Muhammad AsifiD· 1 shared Oliver DavisiD· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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1 shared paperBioinformatics

András LakatosORCID

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2 papers

Recent·Most cited

scRepresenter: a workflow for computing, integrating and benchmarking cellular representations in single-cell transcriptomics

Guilherme Pocas, Muhammad Umar, Oliver Davis, Martin Hemberg, André Lamúrias, András Lakatos, Muhammad Asif

scRepresenter provides a workflow to compute, integrate, and benchmark cellular representations from scRNA-seq data using different methods for complex disease analysis.

bioRxiv · Jul 20, 2026 · PreprintBioinformatics

Bounding phenotype transition probabilities via conditional complexity

Kamaludin Dingle, Pascal Hagolani, Roland Zimm, Muhammad Umar, Samantha O'Sullivan, Ard A. Louis

This study evaluates an upper bound on phenotype transition probabilities using conditional complexity across various genotype-phenotype maps and finds it provides meaningful estimates.

Journal of The Royal Society Interface · Oct 1, 2025Peer-reviewedBiophysics