Chromosomal patterns of gene expression from microarray data: methodology, validation and clinical relevance in gliomas.

ABSTRACT:

Background

Expression microarrays represent a powerful technique for the simultaneous investigation of thousands of genes. The evidence that genes are not randomly distributed in the genome and that their coordinated expression depends on their position on chromosomes has highlighted the need for mathematical approaches to exploit this dependency for the analysis of expression data-sets.

Results

We have devised a novel mathematical technique (CHROMOWAVE) based on the Haar wavelet transform and applied it to a dataset obtained with the Affymetrix HG-U133_Plus_2 array in 27 gliomas. CHROMOWAVE generated multi-chromosomal pattern featuring low expression in chromosomes 1p, 4, 9q, 13, 18, and 19q. This pattern was not only statistically robust but also clinically relevant as it

SUBMITTER: Turkheimer FE 

PROVIDER: S-EPMC1698583 | biostudies-literature | 2006 Dec

REPOSITORIES: biostudies-literature