Dec 23, 2006

Powers of multiple-testing procedures for identification of genes significantly differentially expressed in microarray experiments

Yi chuan xue bao = Acta genetica Sinica
Yuan-De Tan, Heng-Mei Yan

Abstract

Because of the high operation costs involved in microarray experiments, the determination of the number of replicates required to detect a gene significantly differentially expressed in a given multiple-testing procedure is of considerable significance. Calculation of power/replicate numbers required in multiple-testing procedures provides design guidance for microarray experiments. Based on this model and by choice of a multiple-testing procedure, expression noises based on permutation resampling can be considerably minimized. The method for mixture distribution model is suitable to various microarray data types obtained from single noise sources, or from multiple noise sources. By using the biological replicate number required in microarray experiments for a given power or by determining the power required to detect a gene significantly differentially expressed, given the sample size, or the best multiple-testing method can be chosen. As an example, a single-distribution model of t-statistic was fitted to an observed microarray dataset of 3 000 genes responsive to stroke in rat, and then used to calculate powers of four popular multiple-testing procedures to detect a gene of an expression change D. The results show that the B...Continue Reading

Mentioned in this Paper

Silo (Dataset)
Genes, vif
Cdna Microarrays
MRNA Differential Display

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