Figure 1.

Posterior distribution of hyper-parameter. In the figure <a onClick="popup('http://www.biomedcentral.com/1471-2164/13/S5/S2/mathml/M60','MathML',630,470);return false;" target="_blank" href="http://www.biomedcentral.com/1471-2164/13/S5/S2/mathml/M60">View MathML</a> is the solid line with circles, <a onClick="popup('http://www.biomedcentral.com/1471-2164/13/S5/S2/mathml/M61','MathML',630,470);return false;" target="_blank" href="http://www.biomedcentral.com/1471-2164/13/S5/S2/mathml/M61">View MathML</a> 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, <a onClick="popup('http://www.biomedcentral.com/1471-2164/13/S5/S2/mathml/M60','MathML',630,470);return false;" target="_blank" href="http://www.biomedcentral.com/1471-2164/13/S5/S2/mathml/M60">View MathML</a> and <a onClick="popup('http://www.biomedcentral.com/1471-2164/13/S5/S2/mathml/M61','MathML',630,470);return false;" target="_blank" href="http://www.biomedcentral.com/1471-2164/13/S5/S2/mathml/M61">View MathML</a>, 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.

Werhli BMC Genomics 2012 13(Suppl 5):S2   doi:10.1186/1471-2164-13-S5-S2