title: Extracting meaning from microarray data.
abstract: Gene expression is complex: many mRNAs change in abundance in response to a new condition. But while some of these expression changes may be direct, many may be downstream, indirect effects. One of the major problems of microarray data analysis is distinguishing between these changes. Some of the most common methods of analysis are discussed, in the context of their ability to distinguish between direct and indirect expression changes. The application of modular control analysis to microarray data in order to partition and quantify the importance of mRNA clusters in mediating responses is described.
authors.affiliation: MRC Dunn Human Nutrition Unit, Hills Road, Cambridge CB2 2XY, U.K. keira.curtis@mrc-dunn.cam.ac.uk
authors.forename: R K
authors.initials: RK
authors.lastname: Curtis
authors.forename: M D
authors.initials: MD
authors.lastname: Brand
mesh_terms: D016000:Cluster Analysis; D020411:Oligonucleotide Array Sequence Analysis; D012333:RNA, Messenger / Q000235:genetics*
chemical_list: D012333:RNA, Messenger