Robust method for detecting differential gene expression in twin studies | Zendy

Alexander Begun | Zendy

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Robust method for detecting differential gene expression in twin studies

Author(s) -

Alexander Begun

Publication year - 2006

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btl501

Subject(s) - dna microarray , gene expression , differential (mechanical device) , expression (computer science) , gene , computational biology , biology , regulation of gene expression , gene expression profiling , genetics , computer science , programming language , engineering , aerospace engineering

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.

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