SegCorr a statistical procedure for the detection of genomic regions of correlated expression
BMC Bioinformatics(2017)
Abstract
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 number variation (CNV) or epigenetic alterations as factors that may significantly alter expression in large chromosomal regions (gene silencing or gene activation).
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Key words
Gene expression,Chromosomes,Correlation matrix segmentation,CNV,DNA Methylation,SegCorr
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