Article

Quantitative Learning of Cellular Features From Single-cell Transcriptomics Data Facilitates Effective Drug Repurposing

2023-09-17

Abstract excerpt

In this study, we have devised a computational framework SuperFeat that allows for the training of a machine learning model and evaluate the canonical cellular states/features in pathological tissues that underlie the progression of disease. This framework also enables the identification of potential drugs that target the presumed detrimental cellular features. This framework was constructed on the basis of an art...

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Literature Corpus work: bc78ee94-39e4-56ba-b45e-40d6a0a415c0
DOI: 10.1101/2023.09.16.558051

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