Robust method for detecting differential gene expression in twin studies.
Where this comes from
- Record sourced from PubMed, PMID 17032676.
- No licence information is recorded for this record.
- Because redistribution is not established, this page shows the abstract only. Follow the links below for the full text.
Abstract
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. 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.
Medical subject headings
- Algorithms
- Gene Expression Profiling
- Models, Genetic
- Oligonucleotide Array Sequence Analysis
- Proteome
- Twin Studies as Topic
- Twins