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

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

• Type: Journal
• Year: 2006
• Where: BMCBI
• Authors: Federico E. Turkheimer, Federico Roncaroli, Benoit Hennuy, Christian Herens, Minh Nguyen, Didier Martin, Annick Evrard, Vincent Bours, Jacques Boniver, Manuel Deprez
• Keywords: BMCBI 2006, Chromosomes, Expression Changes, Expression Microarrays