For a given chromosome, gene correlation matrix segmentation is performed. Regions with high correlation are identified using an exact test. The expression matrix must not contain NA's and genes with same expression value (i.e. null gene expression).
Multiple profile mean segmentation on the genomic signal is performed using the multiseg function of the cghseg package. Heterogeneous genomic profiles can only be analysed if allocated to homogeneous groups.
Performs correlation matrix segmentation and applies a test procedure to detect highly correlated regions in gene expression. The segmentation procedure detects changes in the patterns of the gene expression correlation matrix. The test procedure asseses which regions exhibit a significantly high level of correlation. Additionally, a preprocessing procedure is provided to correct gene expression for copy number variation.
Gene expression is corrected for CNV events must not contain NA's and genes with same expression value (i.e. null gene expression). Segmentation is used to detect changes in the correlation pattern. Regions with high correlation are identified using an exact test.
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