Experimental Design

Producing useful data from microarrays depends heavily on the manner in which the study was performed so that sources of error are reduced. There are two fundamental sources of error that occur during a microarray experiment: random errors and systematic errors. Random errors are controlled for by obtaining an adequate number of repeats to minimize extraneous influencing factors. Systematic error, or bias, is reduced as far as possible by using an appropriate experimental design (although further reduction is usually necessary using statistical means). An introduction to the key points of microarray experimental design is provided here (for a more detailed appraisal see Ref. [18]).

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