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ABSTRACT: Background
Determining the functions of uncharacterized proteins is one of the most pressing problems in the post-genomic era. Large scale protein-protein interaction assays, global mRNA expression analyses and systematic protein localization studies provide experimental information that can be used for this purpose. The data from such experiments contain many false positives and false negatives, but can be processed using computational methods to provide reliable information about protein-protein relationships and protein function. An outstanding and important goal is to predict detailed functional annotation for all uncharacterized proteins that is reliable enough to effectively guide experiments.Results
We present AVID, a computational method that uses a multi-stage lear
SUBMITTER: Jiang T
PROVIDER: S-EPMC1177925 | biostudies-literature | 2005 Jun
REPOSITORIES: biostudies-literature