… method to predict drug response. In addition, we attempt to use the drug screen data
together with two novel signatures produced from the drug-induced gene expression profiles of …

… the genes regulating cancer cell response to these anti-cancer drugs, we combined
microarray data of drug resistance with data of patient survival. Three gene signatures were …

… proposed an eight-gene signature related to drug metabolism as a potential biomarker to
predict the prognostic risk of gastric adenocarcinoma patients. The predicted drugs (niacin and …

… in existing gene signature comparison algorithms can enhance our understanding of how
transcriptional data can be employed to predict … to their progression in drug discovery, effective …

… We propose that efficacious drug combinations can be … To that end, we selectively performed
multiple two-drug … of proliferative inhibition to a specific drug combination of auranofin and …

… To better link the necroptosis-related gene signature with clinical practice, we used the “oncoPredict”
package to predict sensitivities to commonly used drugs for HCC. The results …

… We predicted the \(IC_{50}\) based on gene signatures and molecular graphs and achieved
better predictive performance than methods reported in previous literatures. We used the self…

… To summarize, we have derived a gene signature that is designed to predict the future
development of renal tubular degeneration before it appears histologically or by other traditional …

… the drug targets. We further show that disease‐specific genetic signatures can be used to
accurately predict drug … personalized drug treatments, where gene expression signatures from …

… In summary, we constructed a CAFs-related gene signature to predict the prognosis for
bladder cancer. The signature contains five genes that are highly expressed in fibroblasts and …