title: Power estimation of the t test for detecting differential gene expression.
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.
authors.affiliation: Institute of Medical Informatics and Statistics, Kiel University, Brunswiker Str. 10, 24105 Kiel, Germany. a.begun@ikmb.uni-kiel.de
authors.forename: Alexander
authors.initials: A
authors.lastname: Begun
mesh_terms: D020869:Gene Expression Profiling / Q000379:methods*; D006801:Humans; D016555:Matched-Pair Analysis; D015233:Models, Statistical; D020411:Oligonucleotide Array Sequence Analysis / Q000379:methods*