Figure 1.
Modeling gene expression variation across tumor samples connects upstream signaling with transcriptional responses. (A) The model learns an interaction matrix between upstream signal transduction proteins and downstream TFs that explains target gene expression. (B) TF binding site predictions for each gene and RPPA profiles of tumor samples are used to predict gene expression variation relative to a mean tumor expression profile.
