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
Journal TitleBioinformatics
Volume23
Issue22
Pages3098-9
KeywordsArtificial Intelligence *Databases, babelomics, Protein Gene Expression Profiling/*methods Information Storage and Retrieval/*methods *Natural Language Processing Proteins/*classification/*metabolism Research/*methods Systems Integration
Abstract

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.

URLhttp://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=17855415
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