TY - JOUR T1 - Functional profiling of microarray experiments using text-mining derived bioentities. JF - Bioinformatics Y1 - 2007 A1 - Minguez, Pablo A1 - Al-Shahrour, Fátima A1 - Montaner, David A1 - Dopazo, Joaquin KW - Artificial Intelligence KW - Databases, Protein KW - Gene Expression Profiling KW - Information Storage and Retrieval KW - Natural Language Processing KW - Proteins KW - Research Design KW - Systems Integration AB -

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.

VL - 23 IS - 22 U1 - https://www.ncbi.nlm.nih.gov/pubmed/17855415?dopt=Abstract ER -