A Boolean-based systems biology approach to predict novel genes associated with cancer: Application to colorectal cancer.

ABSTRACT:

Background

Cancer has remarkable complexity at the molecular level, with multiple genes, proteins, pathways and regulatory interconnections being affected. We introduce a systems biology approach to study cancer that formally integrates the available genetic, transcriptomic, epigenetic and molecular knowledge on cancer biology and, as a proof of concept, we apply it to colorectal cancer.

Results

We first classified all the genes in the human genome into cancer-associated and non-cancer-associated genes based on extensive literature mining. We then selected a set of functional attributes proven to be highly relevant to cancer biology that includes protein kinases, secreted proteins, transcription factors, post-translational modifications of proteins, DNA methylation and tissu

SUBMITTER: Nagaraj SH 

PROVIDER: S-EPMC3051904 | biostudies-literature | 2011 Feb

REPOSITORIES: biostudies-literature