ArticleFrontiers in pharmacology2026
DepPrior: integrating CRISPR dependency predictability with multi-omics reproducibility to prioritize candidate LUAD therapeutic targets.
Article in Frontiers in pharmacology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Lung adenocarcinoma (LUAD) remains molecularly heterogeneous, and many tumors lack clearly tractable vulnerabilities. We developed DepPrior, a computational framework that ranks candidate LUAD therapeutic targets by requiring concordant evidence of CRISPR dependency separability, molecular predictability, and cross-cohort expression/protein reproducibility. DepMap dependency scores were modeled from matched expression and copy-number features using linear and non-linear learners, and gene-level AUROC and R
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