title: THEA: ontology-driven analysis of microarray data.
abstract: BACKGROUND
  Microarray technology makes it possible to measure thousands of variables and to compare their values under hundreds of conditions. Once microarray data are quantified, normalized and classified, the analysis phase is essentially a manual and subjective task based on visual inspection of classes in the light of the vast amount of information available. Currently, data interpretation clearly constitutes the bottleneck of such analyses and there is an obvious need for tools able to fill the gap between data processed with mathematical methods and existing biological knowledge.
  
  
  RESULTS
  THEA (Tools for High-throughput Experiments Analysis) is an integrated information processing system allowing convenient handling of data. It allows to automatically annotate data issued from classification systems with selected biological information coming from a knowledge base and to either manually search and browse through these annotations or automatically generate meaningful generalizations according to statistical criteria (data mining).
  
  
  BACKGROUND
  The software is available on the website http://thea.unice.fr/
authors.affiliation: Institute of Signaling, Developmental Biology and Cancer Research, Laboratory of Virtual Biology, CNRS UMR 6543 Parc Valnore, Nice 06108, Cedex 02, France. claude.pasquier@unice.fr
authors.forename: C
authors.initials: C
authors.lastname: Pasquier
authors.forename: F
authors.initials: F
authors.lastname: Girardot
authors.forename: K
authors.initials: K
authors.lastname: Jevardat de Fombelle
authors.forename: R
authors.initials: R
authors.lastname: Christen
mesh_terms: D000043:Abstracting and Indexing / Q000379:methods*; D003628:Database Management Systems; D030562:Databases, Protein; D004282:Documentation / Q000379:methods*; D029721:Drosophila Proteins / Q000737:chemistry / Q000145:classification / Q000235:genetics / Q000378:metabolism; D020869:Gene Expression Profiling / Q000379:methods; D016247:Information Storage and Retrieval / Q000379:methods*; D009323:Natural Language Processing; D020411:Oligonucleotide Array Sequence Analysis / Q000379:methods*; D020539:Sequence Analysis, Protein / Q000379:methods; D012984:Software; D014584:User-Computer Interface
chemical_list: D029721:Drosophila Proteins