Robust method for detecting differential gene expression in twin studies.

Alexander Begun

doi:10.1093/bioinformatics/btl501

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Robust method for detecting differential gene expression in twin studies.

Alexander Begun

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Abstract

MOTIVATION: A steadily increasing number of experiments with microarrays stimulate the further development of the statistical methods of the analysis of gene expression data. One of the central problems in this area is detecting differential gene expression under two or more conditions. Unfortunately, up to now it has not been studied how the correlations between related individuals, such as twins influence the estimates of differential gene expression. RESULTS: In this paper, we discuss this problem and propose a new method that is robust with respect to correlations of gene expression data for twins.

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Algorithms Gene Expression Profiling Humans Models, Genetic Models, Statistical Oligonucleotide Array Sequence Analysis Proteome Twin Studies as Topic Twins Journal Article

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Alexander Begun. 2006-10-10. Robust method for detecting differential gene expression in twin studies.. https://doi.org/10.1093/bioinformatics%2Fbtl501

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