Transcription profiling of human gliomas reveals wavelet modelling of microarray data provides chromosomal pattern of expression which predicts survival

ABSTRACT: Genetic and epigenetic processes result in gene expression changes through alteration of the chromatin structure. The relative position of genes on chromosomes has therefore important functional implications and can be exploited to model microarray datasets. Gliomas are the most frequent primary brain tumours in adults and their prognosis is related to histology and grade. In oligodendrogliomas, allelic loss of 1p/19q and hypermethylation of MGMT promoter is associated with longer survival and chemosensitivity. In this work we used oligonucleotide microarray to study a group of 30 gliomas with various oligodendroglial and astrocytic components. We used an original approach combining a wavelet model of inter-probe genomic distance (CHROMOWAVE) and unsupervised method of analysis (Sing

ORGANISM(S): Homo sapiens

SUBMITTER: Federico Turkheimer 

PROVIDER: E-GEOD-2817 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress