Inferring drug-disease associations from integration of chemical, genomic and phenotype data using network propagation.

ABSTRACT:

Background

During the last few years, the knowledge of drug, disease phenotype and protein has been rapidly accumulated and more and more scientists have been drawn the attention to inferring drug-disease associations by computational method. Development of an integrated approach for systematic discovering drug-disease associations by those informational data is an important issue.

Methods

We combine three different networks of drug, genomic and disease phenotype and assign the weights to the edges from available experimental data and knowledge. Given a specific disease, we use our network propagation approach to infer the drug-disease associations.

Results

We apply prostate cancer and colorectal cancer as our test data. We use the manually curated drug-disease associ

SUBMITTER: Huang YF 

PROVIDER: S-EPMC3980383 | biostudies-literature | 2013

REPOSITORIES: biostudies-literature