Analysis of AML Genes in Dysregulated Molecular Networks.

ABSTRACT:

Background

Identifying disease causing genes and understanding their molecular mechanisms are essential to developing effective therapeutics. Thus, several computational methods have been proposed to prioritize candidate disease genes by integrating different data types, including sequence information, biomedical literature, and pathway information. Recently, molecular interaction networks have been incorporated to predict disease genes, but most of those methods do not utilize invaluable disease-specific information available in mRNA expression profiles of patient samples.

Results

Through the integration of protein-protein interaction networks and gene expression profiles of acute myeloid leukemia (AML) patients, we identified subnetworks of interacting proteins dysregulate

SUBMITTER: Lee E 

PROVIDER: S-EPMC3041561 | biostudies-literature | 2009 Mar

REPOSITORIES: biostudies-literature