Article

Similarity metric learning on perturbational datasets improves functional identification of perturbations

2023-06-11

Abstract excerpt

Analysis of high-throughput perturbational datasets, including the Next Generation Connectivity Map (L1000) and the Cell Painting projects, uses similarity metrics to identify perturbations or disease states that induce similar changes in the biological feature space. Similarities among perturbations are then used to identify drug mechanisms of action, to nominate therapeutics for a particular disease, and to cons...

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Literature Corpus work: 17ab4ff5-0d21-5a8e-aacd-d2ec0308d852
DOI: 10.1101/2023.06.09.544397

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