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).

Nguyen and LiĆ³ BMC Genomics 2009 10(Suppl 3):S14   doi:10.1186/1471-2164-10-S3-S14