Article

Learning Perturbation-specific Cell Representations for Prediction of Transcriptional Response across Cellular Contexts

2023-03-23

Abstract excerpt

High-throughput screens (HTS) are widely utilized to profile transcriptional states across multiple cell types and perturbations, and are often the first step on the bridge to the patient. However, their representative capacity to encompass all the cellular contexts encountered in a patient is limited. Thus, we present PerturbX, a novel deep learning model that leverages the rich information obtained from HTS to p...

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Identifiers and source

Literature Corpus work: 45b83585-7e58-599e-bb39-e62b63805331
DOI: 10.1101/2023.03.20.533433

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