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Chromosomal patterns of gene expression from microarray data: methodology, validation and clinical relevance in gliomas |
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| Authors: | Federico E Turkheimer Federico Roncaroli Benoit Hennuy Christian Herens Minh Nguyen Didier Martin Annick Evrard Vincent Bours Jacques Boniver and Manuel Deprez |
| Institution: | (1) Department of Clinical Neuroscience, Division of Neuroscience, Imperial College London, London, UK;(2) University Department of Neuropathology, Division of Neuroscience, Imperial College London, London, UK;(3) Department of Human Genetics, University of Li?ge, Li?ge, Belgium;(4) Department of Neurosurgery, University Hospital, University of Li?ge, Li?ge, Belgium;(5) Laboratory of Neuropathology, Department of Pathology, University Hospital, University of Li?ge, Li?ge, Belgium |
| Abstract: | BackgroundExpression 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. |
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