Functional gene clustering via gene annotation sentences, MeSH and GO keywords from biomedical literature.

ABSTRACT: Gene function annotation remains a key challenge in modern biology. This is especially true for high-throughput techniques such as gene expression experiments. Vital information about genes is available electronically from biomedical literature in the form of full texts and abstracts. In addition, various publicly available databases (such as GenBank, Gene Ontology and Entrez) provide access to gene-related information at different levels of biological organization, granularity and data format. This information is being used to assess and interpret the results from high-throughput experiments. To improve keyword extraction for annotational clustering and other types of analyses, we have developed a novel text mining approach, which is based on keywords identified at the level of gene annot

SUBMITTER: Natarajan J 

PROVIDER: S-EPMC2241933 | biostudies-literature | 2007 Dec

REPOSITORIES: biostudies-literature