title: Microarray data analysis: an overview of design, methodology, and analysis.
abstract: Microarray analysis results in the gathering of massive amounts of information concerning gene expression profiles of different cells and experimental conditions. Analyzing these data can often be a quagmire, with endless discussion as to what the appropriate statistical analyses for any given experiment might be. As a result many different methods of data analysis have evolved, the basics of which are outlined in this chapter.
authors.affiliation: Laboratory of Immunology, National Institutes of Health, National Institute on Aging, Gerontology Research Center, Baltimore, MD, USA.
authors.forename: Ashani T
authors.initials: AT
authors.lastname: Weeraratna
authors.forename: Dennis D
authors.initials: DD
authors.lastname: Taub
mesh_terms: D016000:Cluster Analysis; D003627:Data Interpretation, Statistical; D030541:Databases, Genetic; D005544:Forecasting; D020869:Gene Expression Profiling / Q000706:statistics & numerical data; D006801:Humans; D046228:Microarray Analysis / Q000379:methods / Q000706:statistics & numerical data*; D008967:Molecular Biology / Q000379:methods*