Comprehensive analysis of correlation coefficients estimated from pooling heterogeneous microarray data.

ABSTRACT:

Background

The synthesis of information across microarray studies has been performed by combining statistical results of individual studies (as in a mosaic), or by combining data from multiple studies into a large pool to be analyzed as a single data set (as in a melting pot of data). Specific issues relating to data heterogeneity across microarray studies, such as differences within and between labs or differences among experimental conditions, could lead to equivocal results in a melting pot approach.

Results

We applied statistical theory to determine the specific effect of different means and heteroskedasticity across 19 groups of microarray data on the sign and magnitude of gene-to-gene Pearson correlation coefficients obtained from the pool of 19 groups. We quantified t

SUBMITTER: Almeida-de-Macedo MM 

PROVIDER: S-EPMC3765419 | biostudies-literature | 2013 Jul

REPOSITORIES: biostudies-literature