Article

Predicting transcriptional responses to novel chemical perturbations using deep generative model

2024-03-20

Abstract excerpt

<title>Abstract</title> <p>Understanding transcriptional responses to chemical perturbations is central for drug discovery, but exhaustive experimental high-throughput screening of disease and compound combinations is unfeasible. To overcome this limitation, here we present a perturbation-conditioned deep generative model named PRnet for predicting transcriptional responses to novel chemical perturbations that we...

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Literature Corpus work: 64eb5743-c7e5-576c-94fb-19884e93de18
DOI: 10.21203/rs.3.rs-3917469/v1

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