PMC

Conceptual overview of GOPredict. In-house and curated data (left) are used to create a gene-by-study matrix of ranks which is stored in the knowledge-base (large blue box). GOPredict uses the genewise study ranks to calculate gene K-ranks (yellow box, left). K-ranks are used to calculate cancer-essentiality for GO processes (yellow box, middle). K-ranks are recalibrated with GO process scores and then used to prioritize drugs and stratify samples for input query data sets

Heat map of sample stratification according to FGFR3 status in TCGA breast tumors. Breast cancer tumors are on the x-axis. Y-axis contains gene activity matrix statuses and immunohistochemical (IHC) status of ER, PR and HER2. PAM50 subtype classification is on the top-most row. FGFR inhibitors dovitinib, lenvatinib and ponatinib (dov/len/pon) share sensitive samples (green). Samples have been ordered according to FGFR inhibitor sensitivity status