Multi-dimensional correlations for gene coexpression and application to the large-scale data of Arabidopsis.

ABSTRACT:

Background

Recent improvements in DNA microarray techniques have made a large variety of gene expression data available in public databases. This data can be used to evaluate the strength of gene coexpression by calculating the correlation of expression patterns among different genes between many experiments. However, gene expression levels differ significantly across various tissues in higher organisms, as well as in different cellular location in eukaryotes in different cell state. Thus the usual correlation measure can only evaluate the difference of tissues or cellular localizations, and cannot adequately elucidate the functional relationship from the coexpression of genes.

Method

We propose a new measure of coexpression by expanding the generally used correlation into a

SUBMITTER: Kinoshita K 

PROVIDER: S-EPMC2759550 | biostudies-literature | 2009 Oct

REPOSITORIES: biostudies-literature