Integrative approaches to the prediction of protein functions based on the feature selection.

ABSTRACT:

Background

Protein function prediction has been one of the most important issues in functional genomics. With the current availability of various genomic data sets, many researchers have attempted to develop integration models that combine all available genomic data for protein function prediction. These efforts have resulted in the improvement of prediction quality and the extension of prediction coverage. However, it has also been observed that integrating more data sources does not always increase the prediction quality. Therefore, selecting data sources that highly contribute to the protein function prediction has become an important issue.

Results

We present systematic feature selection methods that assess the contribution of genome-wide data sets to predict protein fun

SUBMITTER: Ko S 

PROVIDER: S-EPMC2813249 | biostudies-literature | 2009 Dec

REPOSITORIES: biostudies-literature