TGUHm with dual-thresholding achieves higher true positive rates and lower false positive rates than CBS, HaarSeg, and FDRSeg for detecting both short and long copy number alterations under Gaussian and heavy-tailed noise.
Gistic2.0 facilitates sensitive and confident localization of the targets of focal somatic copy-number alteration in human cancers
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Tail-Greedy Unbalanced Haar Wavelet Segmentation for Copy Number Alteration Data
TGUHm with dual-thresholding achieves higher true positive rates and lower false positive rates than CBS, HaarSeg, and FDRSeg for detecting both short and long copy number alterations under Gaussian and heavy-tailed noise.