Fig. 4

ROC-curves of five segmentation methods. The curves show the sensitivity and specificity of accuracy for a sequence of thresholds as calculated by comparing aberration calls to the classifications made in a MLPA-analysis on the test dataset. (a) and (b) show that the classification accuracy is not affected much for a wide range of λ and γ. Here γ is equal to 0.02 in (a), and λ is equal to 0.02 in (b). c shows the effect of different combinations of window sizes. Curve W1 is the result using window sizes generated by the arithmetic progression with common difference of 1. Curve W2, W4 and W8 correspond to window sizes of the geometric sequence with common ratio of 2, 4 and 8 respectively. λ and γ is default value (0.02). d shows calls based on the segmentations found by DNAcopy v1.52.0 (CBS), copynumber v1.18 (PCF), the method in BACOM and DBS with raw data