title: Mining microarray datasets aided by knowledge stored in literature.
abstract: DNA microarray technology produces large amounts of data. For data mining of these datasets, background information on genes can be helpful. Unfortunately most information is stored in free text. Here, we present an approach to use this information for DNA microarray data mining.
authors.affiliation: Department of Medical Informatics, Erasmus MC, Rotterdam, The Netherlands.
authors.forename: Rob
authors.initials: R
authors.lastname: Jelier
authors.forename: Guido
authors.initials: G
authors.lastname: Jenster
authors.forename: Lambert C
authors.initials: LC
authors.lastname: Dorssers
authors.forename: Erik M
authors.initials: EM
authors.lastname: Van Mulligen
authors.forename: Barend
authors.initials: B
authors.lastname: Mons
authors.forename: Jan A
authors.initials: JA
authors.lastname: Kors
mesh_terms: D030541:Databases, Genetic; D005796:Genes; D006801:Humans; D016247:Information Storage and Retrieval; D020411:Oligonucleotide Array Sequence Analysis; D018875:Vocabulary, Controlled