Figure 1

Plots of ${\alpha }_E^{\ast }$ vs. K. The DDP producing the optimal separation of classes as measured using the Euclidean distance, ${\alpha }_E^{\ast }$, as a function of K for toy datasets generated from (a) the OVA model and (b) the PW model. Each of the five panels in (a) and (b) represents a plot from toy datasets generated using a different value of G (a parameter which denotes the number of genes in each group of marker genes and is set during the generation of the toy datasets).