CGP.mat: Cancer Growth Pathway (CGP)

In Minzhe/DIGREsyn: Drug Induced Genomic Residual Effect (DIGRE) model for predicting drug pair synergistic score

Description

A matrix contains the Cancer Growth Pathway (CGP) gene-gene interaction network information

Usage

data(CGP.mat)

Format

An object of class matrix with 932 rows and 932 columns.

Details

The CGP was built using pathways empirically selected from KEGG pathway database based on our knowledge firstly, and then refined by a small drug combination training dataset. In particular, we selected 12 pathways which were highly related to cell growth. Then we remove one of the 12 pathways each time and merged the remaining to build a CGP with which we applied our approach to the external training dataset. Based on the results, we screened out 8 pathways that contributed mostly to the performance and merged them to build final CGP. The 8 KEGG pathways are: aminoacyl-tRNA biosynthesis, MAPK signaling pathway, NF-kappa B signaling pathway, Cell Cycle, p53 signaling pathway, Apoptosis, TGF-beta signaling pathway, Cancer pathway.

Minzhe/DIGREsyn documentation built on May 7, 2019, 4:58 p.m.