Author

Christopher Tosh

Memorial Sloan Kettering Cancer Center

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 2 Cancer Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 2 Research Focus:drug response / drug discovery· 2 Organism:human· 2 Approach:statistical model· 2 Approach:Bayesian inference· 1 Research Focus:benchmarking· 1 Research Focus:differential expression· 1 Assay:organoid / primary culture· 1

Frequent Co-Authors

Jeffrey F. QuinniD· 3 shared Wesley TanseyiD· 3 shared Antoine de Mathelin· 2 shared Jessica B. WhiteiD· 2 shared Andrew L. KungiD· 1 shared Anneliese MarkusiD· 1 shared Data Science Teamlab· 1 shared Erin M. CoyneiD· 1 shared

Activity by Year

2025-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 31 mutual co-author links

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3 shared papersBioinformatics

Jeffrey F. QuinnORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

CellConsensus: An agent-curated atlas for automatic cell typing

Antoine de Mathelin, Jeffrey Quinn, Christopher Tosh, Data Science Teamlab, Wesley Tansey

CellConsensus provides a consensus cell typing method by aggregating marker genes from curated atlases and literature, improving accuracy and reproducibility across tissues and platforms.

bioRxiv · Aug 17, 2026 · PreprintBioinformatics

A Pan-Cancer Ex Vivo Drug Screen Atlas for Functional Precision Oncology

Karl Pichotta, Jessica B. White, Jeffrey F. Quinn, Anneliese Markus, Christopher Tosh, Antoine de Mathelin, Erin M. Coyne, Feiyang Huang, Wesley Tansey

The paper presents a pan-cancer ex vivo drug screen atlas with 2.1M experiments, identifying tissue-specific drug sensitivities and demonstrating their predictive value for clinical profiles.

bioRxiv · Feb 17, 2026 · PreprintCancer Biology

A Bayesian active learning platform for scalable combination drug screens

Christopher Tosh, Mauricio Tec, Jessica B. White, Jeffrey F. Quinn, Glorymar D. Ibanez Sanchez, Paul Calder, Andrew L. Kung, Filemon S. Dela Cruz, Wesley Tansey

BATCHIE efficiently identifies effective drug combinations through adaptive experimentation, reducing the number of required experiments while accurately predicting synergies.

Nature Communications · Jan 2, 2025Peer-reviewedBioinformatics