Combining guilt-by-association and guilt-by-profiling to predict Saccharomyces cerevisiae gene function.

ABSTRACT:

Background

Learning the function of genes is a major goal of computational genomics. Methods for inferring gene function have typically fallen into two categories: 'guilt-by-profiling', which exploits correlation between function and other gene characteristics; and 'guilt-by-association', which transfers function from one gene to another via biological relationships.

Results

We have developed a strategy ('Funckenstein') that performs guilt-by-profiling and guilt-by-association and combines the results. Using a benchmark set of functional categories and input data for protein-coding genes in Saccharomyces cerevisiae, Funckenstein was compared with a previous combined strategy. Subsequently, we applied Funckenstein to 2,455 Gene Ontology terms. In the process, we developed 2,4

SUBMITTER: Tian W 

PROVIDER: S-EPMC2447541 | biostudies-literature | 2008

REPOSITORIES: biostudies-literature