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.

Additional Metadata
Keywords *Databases, Genetic, *Information Storage and Retrieval, *Oligonucleotide Array Sequence Analysis, Genes, Humans, Vocabulary, Controlled
Persistent URL hdl.handle.net/1765/10295
Journal Proceedings : a conference of the American Medical Informatics Association / . AMIA Annual Fall Symposium. AMIA Fall Symposium
Citation
Jelier, R, Jenster, G.W, Dorssers, L.C.J, van Mulligen, E.M, Mons, B, & Kors, J.A. (2003). Mining microarray datasets aided by knowledge stored in literature. Proceedings : a conference of the American Medical Informatics Association / . AMIA Annual Fall Symposium. AMIA Fall Symposium, 879–879. Retrieved from http://hdl.handle.net/1765/10295