CARE:   Computational Analysis of REsistance

CARE is a software developed to identify genome-scale biomarkers of targeted therapy response using compound screen data. For each drug, its CARE score vector can serve as a pattern of good responder. Patients will be predicted as responders or non-responders depending on the Pearson correlation between the gene expression profile of cancer samples and CARE score vector. For each gene, the CARE score indicates the association between its molecular alteration and drug efficacy. A positive score indicates a higher expression value (or presence of mutation) to be associated with drug response, while a negative score indicates drug resistance. You can search the CARE results on CCLE, CTRP and CTRP datasets here. Please use the auto-completed name when available. Only significant results will be shown. For full association result, please download our output.