Microarray data analysis: an overview of design, methodology, and analysis.
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.
Weeraratna
Ashani T
AT
Laboratory of Immunology, National Institutes of Health, National Institute on Aging, Gerontology Research Center, Baltimore, MD, USA.
Taub
Dennis D
DD
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*