On quality control standards to evaluate microarray studies Online publication date: Sat, 21-Feb-2015
by Justin R. Chimka, Jing Wu, Qin Hong
International Journal of Quality Engineering and Technology (IJQET), Vol. 2, No. 1, 2011
Abstract: We describe an effort to establish parameter thresholds for evaluation of gene expression data by imagining a multidimensional definition of quality that is subsequently used to assess classification errors associated with simple models of spot quality. Methods are dominated by K-means clustering and logistic regression. Results suggest that a consistent and objective definition of quality can be found, and statistical models of spot quality can be efficient and useful.
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