Heatmaps are generated using the unique breakpoints found across all samples, and their values correspond to their relative read counts or copy number as determined by their dissimilarity structure for each respective dendrogram.
Heatmap of copy number values across all segment breakpoints (using Euclidian distance metric)
Heatmap of copy number values across all segment breakpoints (using correlation)
Heatmap of normalized read counts across segment breakpoints (using Euclidian distance metric)
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Genome: hg19 Binning: variable bins of 500kb size (bowtie/101bp reads) Segmentation: using normalized read counts Clustering: ward linkage, euclidean distance