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. Author manuscript; available in PMC: 2012 Jan 15.
Published in final edited form as: Cancer. 2010 Sep 13;117(2):353–360. doi: 10.1002/cncr.25592

Figure 1.

Figure 1

The Bayesian network model encoding the dependence relation among the subtype variable and genes is shown. For each gene, its likelihood of dependence on the subtype variable or another gene were evaluated, and then its parent node was determined by the highest likelihood. The subtype variable’s first tier child nodes, which are colored in green, are under its Markov blanket and assemble a signature to discriminate between adenocarcinoma (AC) and squamous cell carcinoma (SCC).