Author

Tzen S. Toh

University of SheffieldORCID 0000-0003-4211-333XUnclaimed 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 Research Focus:drug response / drug discovery· 2 Organism:human· 2 Approach:machine learning (classical)· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:clustering· 1 Assay:scRNA-seq· 1

Frequent Co-Authors

Amanda J. OliveriD· 1 shared Bingxun Yang· 1 shared Camille FourneauxiD· 1 shared Dennis Y.Q. WangiD· 1 shared Elham AziziiD· 1 shared Fabian Joachim TheisiD· 1 shared Florian BuettneriD· 1 shared Gabriele PiccoiD· 1 shared

Activity by Year

2019-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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1 shared paperGenomics

Amanda J. OliverORCID

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2 papers

Recent·Most cited

GenomicsbioRxivPreprintMar 24, 2026

Perturbation-guided mapping of colorectal cancer cell states to causal mechanisms

Soroor Hediyeh-zadeh, Tzen S. Toh, Olli Dufva…·Mathew J. Garnett

This paper develops a continual learning framework to map colorectal cancer cell states to causal mechanisms through integration of single-cell data and perturbation experiments.

1 citation

humanscRNA-seq

𝕏 PostBluesky

Bioinformaticsnpj Systems Biology and ApplicationsPeer-reviewedOct 3, 2019

Defining subpopulations of differential drug response to reveal novel target populations

Nirmal Keshava, Tzen S. Toh, Haobin Yuan…·Dennis Y.Q. Wang

The paper identifies subpopulations with differential drug responses using unsupervised machine learning to discover novel target populations and effective drug combinations.

22 citations

humanbulk RNA-seq

𝕏 PostBluesky