gbm.example: Glioblastoma (GBM) Example Dataset
In califano-lab/moma.gbmexample: Data Package For Moma Vignette

Object containing all the data needed to run the example code for MOMA

1	gbm.example

An object with 9 different sets of GBM data needed to run the MOMA analysis

vipermat: matrix of viper scores with samples in columns and regulators across the rows
cindy: list of regulators, each with a set of modulators and p values representing their CINDY inferred association
preppi: list of regulators, each with a set of potential binding partners and PREPPi inferred p values for probability of binding
rawsnp: matrix of samples and genes with potential mutations. 0 for no mutation, 1 for presence of some non-silent mutation
rawcnv: matrix of samples and genes with copy number variant scores calculated by GISTIC
fusions: matrix of samples and fusion genes. 0 for no fusion, 1 for presence of fusion
gene.loc.mapping: dataframe with 4 columns, Gene Symbol, Locus ID, Cytoband location, Entrez ID. Used for mapping amplifications and deletions between gene and location
clinical: dataframe of clinical annotations, taken directly from TCGA
fCNV: vector of gene names that have functional CNV mutations
mutSig: blacklist of genes to not use in the DIGGIT analysis