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DeepVul: A Multi-Task Transformer Model for Joint Prediction of Gene Essentiality and Drug Response

2024-10-21

Abstract excerpt

Despite their potential, current precision oncology approaches benefit only a small fraction of patients due to their limited focus on actionable genomic alterations. To expand its applicability, we propose DeepVul, a multi-task transformer-based model designed to predict gene essentiality and drug response from cancer transcriptome data. DeepVul aligns gene expressions, gene perturbations, and drug perturbations...

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Identifiers and source

Literature Corpus work
e24ec64e-794c-559c-8450-3aa1b5247217
DOI
10.1101/2024.10.17.618944
Open publication

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DeepVul: A Multi-Task Transformer Model for Joint Prediction of Gene Essentiality and Drug ResponseDOI 10.1101/2024.10.17.618944
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