Author

Jinming Bai

University of Cape TownORCID 0000-0001-6799-6613Unclaimed ORCID profile · follow to get notified of new preprints

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Bioinformatics· 1

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Approach:deep learning· 1 Approach:machine learning (classical)· 1 Research Focus:perturbation response prediction· 1

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Geoff NitschkeiD· 1 shared Sharon PrinceiD· 1 shared

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2026-2026 · peak 1/yr

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Geoff NitschkeORCID

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BioinformaticsbioRxivPreprintMay 15, 2026

Deep learning models for chemical perturbation prediction do not yet utilise drug molecular features

Jinming Bai, Sharon Prince, Geoff Nitschke

This study shows that deep learning models for chemical perturbation prediction do not effectively use drug molecular features, as performance remains unchanged when drug inputs are removed.

1 citation

deep learningmachine learning (classical)

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