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9 months ago

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Machine learning predicts cellular response to genetic perturbation - Nature Biotechnology

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Machine learning predicts cellular response to genetic perturbation - Nature Biotechnology

GEARS, a machine learning model informed by biological knowledge of gene–gene relationships, effectively predicts transcriptional responses to multi-gene perturbations. GEARS can predict the effects of perturbing previously unperturbed genes and detects non-additive interactions, such as synergy, when predicting combinatorial perturbation outcomes. Thus, GEARS expands insights gained from perturbational screens.

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Machine learning predicts cellular response to genetic perturbation - Nature Biotechnology

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Machine learning predicts cellular response to genetic perturbation - Nature Biotechnology

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