Mining phenotypes for gene function prediction.

ABSTRACT:

Background

Health and disease of organisms are reflected in their phenotypes. Often, a genetic component to a disease is discovered only after clearly defining its phenotype. In the past years, many technologies to systematically generate phenotypes in a high-throughput manner, such as RNA interference or gene knock-out, have been developed and used to decipher functions for genes. However, there have been relatively few efforts to make use of phenotype data beyond the single genotype-phenotype relationships.

Results

We present results on a study where we use a large set of phenotype data - in textual form - to predict gene annotation. To this end, we use text clustering to group genes based on their phenotype descriptions. We show that these clusters correlate well with sev

SUBMITTER: Groth P 

PROVIDER: S-EPMC2311305 | biostudies-literature | 2008 Mar

REPOSITORIES: biostudies-literature