Figure 3
From: Bivariate segmentation of SNP-array data for allele-specific copy number analysis in tumour samples
ROC curves for the different methods over a subset of the synthetic data. ROC curves that arise from running methods with different sensitivity parameterisations over the complex-patterned samples with 50% normal cell contamination. The combinations of pattern and contamination level were chosen for being representative of the overall performance. Sensitivity is shown in the vertical axis and specificity in the horizontal axis. Colour code: purple (ASCAT), red (CnaStruct), orange (GAP), black (GPHMM), blue (OncoSNP). Bigger dots correspond to the results obtained with default parameterisations (two for GAP due to the different parameterisations of CBS in the two versions of GAP). If applicable, squares correspond to the best non-default parameterisations. Grey lines are F-measure isocurves (the F-measure integrates, with the same weight, sensitivity and specificity in a single value).