title: Gene expression mining in type 2 diabetes research.
abstract: Microarray analysis has become a core part of biomedical research and its value can be seen in thousands of research papers. A successful microarray experiment needs to be augmented by specialized data mining techniques if the data are to be fully exploited. Here, tools that concentrate on three areas--gene enrichment analysis, literature mining, and transcription factor binding site analysis--are described for the novice user of microarray technology. The focus of this chapter is on free, publicly available, web-based tools.
authors.affiliation: Centres for Cardiovascular Science and Inflammation Research, Queen's Medical Research Institute, University of Edinburgh, 47 Little France Crescent, Edinburgh, EH16 4TJ, UK. donald.dunbar@ed.ac.uk
authors.forename: Donald R
authors.initials: DR
authors.lastname: Dunbar
mesh_terms: D000818:Animals; D030541:Databases, Genetic; D003920:Diabetes Mellitus / Q000235:genetics*; D020869:Gene Expression Profiling; D006801:Humans; D016247:Information Storage and Retrieval; D012984:Software