Figure 1

Distance distributions of the homologous and heterogeneous groups. Comparison of the three distance metric capability in differentiating between homologous and heterogeneous sample pairs over three generating cases. Red lines: densities of homologous distances (two samples are from the same process); blue lines: densities of heterogeneous distances (two samples are from two different processes). Case 1: Samples are independently generated from a Gaussian distribution with varying noises (favours BayesGen); Case 2: Samples are independently generated from a Gaussian distribution with fixed noise (favours Euclidean distance); Case 3: Samples are generated as noisy linear transformations from a common mean vector (favours Pearson correlation).