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Performance of classification methods in a microarray setting: a simulation study

Van Sanden S., Lin D., Burzykowski T.

Biocybernetics and Biomedical Engineering

2007

Vol. 27, no. 3

15-28

Dudoit et al., Lee et al., and Statnikov et al. investigated the performance of several classification methods applied to real-life microarray data. Due to the availability of only a few datasets, only a limited number of settings could be evaluated. Also, the true classification and the set of truly differentially expressed genes were unknown. In order to overcome these limitations, a simulation study was conducted, by using a linear mixed effects model to simulate microarray data under different scenarios. Several classification methods were compared with respect to their ability to discriminate between two classes of biological samples in various experimental settings.