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Generally SHG produces very high contrast images with very low or no background and since pump laser beam polarization was circular, segmentation based on threshold values proved to be a robust method.
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The underlying detection algorithm types are generally Hidden Markov model (HMM) [16], [17], or circular binary segmentation (genomic segmentation) [18].
The resulting GC-corrected W RdRatio data are segmented using circular binary segmentation, resulting in genomic segments and associated segmental LogRatios summarized from the GC-corrected W RdRatio of all 100-bp windows within each segment.
Segmentation is performed using circular binary segmentation, as implemented in the R package DNAcopy [19].
Segmentation was performed with circular binary segmentation as implemented in the R-package 'DNAcopy'DNAcopy
The data was segmented using circular binary segmentation with default values.
Normalized aCGH data from tumor samples were segmented using circular binary segmentation [ 10].
The resulting SNP-level copy numbers were segmented using circular binary segmentation (CBS) method within aroma.affymetrix [ 19].
The aCGH data was first processed using aroma.affymetrix software and was then segmented using circular binary segmentation method.
These log2 ratio signals were smoothed and segmented using Circular Binary Segmentation (CBS) algorithm [ 22] with the default parameters implemented in the DNAcopy R package.
The Agilent arrays were segmented using circular binary segmentation (CBS), after outliers greater than four standard deviations from the neighborhood of 20 probes were removed.
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