Functional profiling of microarray experiments using text-mining derived bioentities.

TitleFunctional profiling of microarray experiments using text-mining derived bioentities.
Publication TypeJournal Article
Year of Publication2007
AuthorsMinguez, P, Al-Shahrour, F, Montaner, D, Dopazo, J
Date Published2007 Nov 15
KeywordsArtificial Intelligence; Databases, Protein; Gene Expression Profiling; Information Storage and Retrieval; Natural Language Processing; Proteins; Research Design; Systems Integration

MOTIVATION: The increasing use of microarray technologies brought about a parallel demand in methods for the functional interpretation of the results. Beyond the conventional functional annotations for genes, such as gene ontology, pathways, etc. other sources of information are still to be exploited. Text-mining methods allow extracting informative terms (bioentities) with different functional, chemical, clinical, etc. meanings, that can be associated to genes. We show how to use these associations within an appropriate statistical framework and how to apply them through easy-to-use, web-based environments to the functional interpretation of microarray experiments. Functional enrichment and gene set enrichment tests using bioentities are presented.

Alternate JournalBioinformatics
PubMed ID17855415