https://www.selleckchem.com/products/hs-10296.html
For 368,520 drug-gene pairs with P less then 0.05 in linear models, 999 candidate pairs with both AUC ≥ 0.8 and P less then 0.05 were obtained by logistic regression models between drug response and DNA methylation. Then 931 drug-gene pairs with 45 drugs and 491 genes were optimized by model stability assessment. Integrating both DNA methylation and gene expression markedly increased predictive power for 732 drug-gene pairs where 598 drug-gene pairs including 44 drugs and 359 genes were prioritized. Several drug target genes were e
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