Article

Deep learning-based predictions of gene perturbation effects do not yet outperform simple linear baselines

2024-09-19

Abstract excerpt

Advanced deep-learning methods, such as foundation models, promise to learn representations of biology that can be employed to predict in silico the outcome of unseen experiments, such as the effect of genetic perturbations on the transcriptomes of human cells. To see whether current models already reach this goal, we benchmarked five foundation models and two other deep learning models against deliberately simpl...

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Literature Corpus work: 9f5fb89b-5fde-5bdf-96e5-281ecafe7e6d
DOI: 10.1101/2024.09.16.613342

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