Resolution:
standard / ## 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 |