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A Bayesian Network-Based Framework for Causal Cancer Drug Target Discovery Integrating Patient and Cell Line Data

2026-07-13

Abstract excerpt

Current approaches to cancer drug target discovery face two key limitations: poor translation of cell line-derived targets to patient tumors, and the lack of causal explanation of the regulatory mechanisms underlying target prioritization. Here we present BayesTx (Bayesian Therapeutics target discovery), a Bayesian network framework that integrates patient transcriptomics data with cell line data to identify causa...

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Literature Corpus work
4c9b1eac-42b3-5276-9ce9-4f15364cfe29
DOI
10.64898/2026.07.13.736676
Open publication

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A Bayesian Network-Based Framework for Causal Cancer Drug Target Discovery Integrating Patient and Cell Line DataDOI 10.64898/2026.07.13.736676
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