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Analysis of megavariate data in functional genomics.

Årstall	2007
Abstract	Over the latest decades there has been a rapid development of laboratory techniques used for analyzing the pathways from the genes to the final physiology of an organism. Insight into the biological mechanism controlling growth and development of an organism is thereby enabled at a level that was never before possible. This in turn can be utilized for example in health care for improved diagnostics and improved medical treatment of diseases, and in agricultural science for tayloring plants and animals with desirable properties. Both from a biological and from a data analytical point of view the scientists are facing major challenges in the research area of analyzing functional genomics data. The present chapter aims at addressing some of these challenges, and discuss important questions that need to be considered as well as giving guidelines to some useful approaches for analyzing data from functional genomics. The focus of the present book chapter is on data modelling of empirical data from functional genomics.
Referanse	Færgestad, E.M., Langsrud, Ø., Høy, M., Hollung, K., Sæbø, S., Liland, K.H., Kohler, A., Giskehaug, L., Almergren, J., Anderssen, E., Martens, H. 2009. Analysis of megavariate data in functional genomics. In: Comprehensive Chemometrics: Chemical and Biochemical Data Analysis Four - Volum set, (eds Brown, S. Tauler, R., Walczak, B.) Elsevier, Volume 4, pp 221-278
Utgiver	Elsevier,