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KCML: a machine-learning framework for inference of multi-scale gene functions from genetic perturbation screens

dataset
posted on 31.01.2020, 17:17 by Heba Sailem, Jens Rittscher, Lucas Pelkmans
Top predictions of KCML based on three genetic perturbation datasets.

Funding

Knowledge-driven analysis of image-based genetic screens using deep learning

Wellcome Trust

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