Figure 3
From: Estimation of tumor heterogeneity using CGH array data
Classifier. Here we show three examples of classification of real samples. From top to bottom, the three samples are classified as 2, 3, and 4 subpopulations, respectively. Each subplot shows two empirical distributions and a blue line representing the NLS K of the query sample. In the first column, the black curve is the smoothed empirical distribution (SED) of NLSb 22(simulated as two subpopulations and fitted as two) and the red curve is the SED of NLSb 32(simulated as three and fitted as two). In the second column, the red curve is the SED of NLSb 33(simulated as three and fitted as three) and the green curve is the SED of NLSb 43(simulated as four and fitted as three). Finally, in the last column, the green curve is the SED of NLSb 44(simulated as four and fitted as four) and the yellow curve is the SED of NLSb 54(simulated as five and fitted as four). The number in the subplots shows how many samples (in %) in the left distribution that obtain a value greater than the value indicated by the blue line.