Fig. 1

Methodological overview. Gene copy number and expression data of 178 histologically classified oligodendrogliomas from The Cancer Genome Atlas (TCGA) were randomly split into training (two-thirds) and corresponding test (one-third) samples. Oligodendroglioma-specific gene regulatory networks were learned based on gene expression and copy number data of each training set. The obtained networks were validated on their corresponding oligodendroglioma test sets and independent data of closely related oligoastrocytomas from TCGA. Network propagation was applied to genes within the region of the 1p/19q co-deletion to identify those genes that had a strong impact on the expression of known cancer-relevant signaling and metabolic pathways