Literature DB >> 17999097

Power estimation of the t test for detecting differential gene expression.

Alexander Begun1.   

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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Year:  2007        PMID: 17999097     DOI: 10.1007/s10142-007-0061-8

Source DB:  PubMed          Journal:  Funct Integr Genomics        ISSN: 1438-793X            Impact factor:   3.410


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5.  Robust method for detecting differential gene expression in twin studies.

Authors:  Alexander Begun
Journal:  Bioinformatics       Date:  2006-10-10       Impact factor: 6.937

6.  How many replicates of arrays are required to detect gene expression changes in microarray experiments? A mixture model approach.

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Journal:  Genome Biol       Date:  2002-04-22       Impact factor: 13.583

  6 in total
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