Author

Adit Shah

Broad Institute

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Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Approach:benchmark study· 1 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Approach:machine learning (classical)· 1 Assay:proteomics· 1

Frequent Co-Authors

Alex Beatson· 1 shared Andreas BenderiD· 1 shared Andrew Zhang· 1 shared Ángel Alexander CabreraiD· 1 shared Anne Elizabeth CarpenteriD· 1 shared Daniil A. BoikoiD· 1 shared Jordi Carreras PuigvertiD· 1 shared Katherine TittertoniD· 1 shared

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2025-2025 · peak 1/yr

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10 top collaborators · 45 mutual co-author links

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1 shared paperBioinformatics

Alex Beatson

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1 paper

Recent·Most cited

Small molecule bioactivity benchmarks are often well-predicted by counting cells

Srijit Seal, William Dee, Adit Shah, Andrew Zhang, Katherine Titterton, Ángel Alexander Cabrera, Daniil A. Boiko, Alex Beatson, Jordi Carreras Puigvert, Shantanu Singh, Ola Spjuth, Andreas Bender, Anne Elizabeth Carpenter

The paper shows that cell counting can predict compound bioactivity as well as Cell Painting or gene expression, but Cell Painting adds unique value in protein-target-specific benchmarks.

bioRxiv · Apr 27, 2025 · PreprintBioinformatics