Author

Ethar Alzaid

Pattern Recognition and Intelligent Systems in Biomedicine (PRISM) Lab, Department of Computer Science, University of Warwick, Coventry, United KingdomORCID 0009-0002-2116-5819Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 2 Organism:human· 2 Research Focus:trajectory inference· 2 Research Focus:clustering· 1 Approach:deep learning· 1 Approach:optimal transport· 1

Frequent Co-Authors

Fayyaz MinhasiD· 2 shared George WrightiD· 2 shared Jan Joris BrosensiD· 1 shared Joanne MuteriD· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

4 top collaborators · 6 mutual co-author links

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2 shared papersBioinformatics

Fayyaz MinhasORCID

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2 papers

Recent·Most cited

Discovering Prognostic Risk Strata and Heterogeneous Progression Routes from Cross-Sectional Survival Data

Ethar Alzaid, George Wright, Fayyaz Minhas

GOTSurv models patient-specific disease progression from cross-sectional survival data, identifying heterogeneous risk strata and individualized progression trajectories without predefined risk cut-offs.

bioRxiv · Nov 4, 2026 · PreprintBioinformatics

GOTFlow: Learning Directed Population Transitions from Cross-Sectional Biomedical Data with Optimal Transport

George Wright, Ethar Alzaid, Joanne Muter, Jan Joris Brosens, Fayyaz Minhas

GOTFlow infers directed population transitions from cross-sectional biomedical data using optimal transport, revealing biologically meaningful dynamics in endometrial remodelling, breast cancer risk, and prion disease.

bioRxiv · Mar 18, 2026 · PreprintBioinformatics