Power estimation of the t test for detecting differential gene expression |
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Authors: | Alexander Begun |
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Affiliation: | (1) Institute of Medical Informatics and Statistics, Kiel University, Brunswiker Str. 10, 24105 Kiel, Germany |
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Abstract: | There exist now a number of statistical methods for detecting differential gene expression in experiments with microarray data. In trials under two conditions, a version of the two-sample t statistic is usually used. However, the problem of estimating the power for these tests has so far been insufficiently studied. In this paper, we propose a method to calculate the power of the robust t test for detecting differential gene expression in experiments with twins. We discuss also the results of the implementation of this method to simulated data. |
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Keywords: | Gene expression t Test Twin data Power study |
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