Figure 1From: Comparing the reconstruction of regulatory pathways with distinct Bayesian networks inference methodsPosterior distribution of hyper-parameter. In the figure B 50 is the solid line with circles, B 100 is the dashed line and KEGG is the dotted line with crosses. This figure summarizes the typical hyper-parameter found by the BN-E for both sources of extra knowledge available, B 50 and B 100 , when applied to the Gaussian and Netbuilder data and for the extra knowledge from KEGG applied to the Real data. The posterior distribution of the sampled hyper-parameters is estimated with a kernel estimator.Back to article page