SegCorr a statistical procedure for the detection of genomic regions of correlated expression

Abstract Background Detecting local correlations in expression between neighboring genes along the genome has proved to be an effective strategy to identify possible causes of transcriptional deregulation in cancer. It has been successfully used to illustrate the role of mechanisms such as copy numb...

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Autori principali:	Eleni Ioanna Delatola, Emilie Lebarbier, Tristan Mary-Huard, François Radvanyi, Stéphane Robin, Jennifer Wong
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	BMC 2017-07-01
Serie:	BMC Bioinformatics
Soggetti:	Gene expression Chromosomes Correlation matrix segmentation CNV DNA Methylation SegCorr
Accesso online:	http://link.springer.com/article/10.1186/s12859-017-1742-5
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