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Biological networks offer us a new way to investigate the interactions among different components and address the biological system as a whole. In this paper, a reverse-phase protein microarray (RPPM) is used for the quantitative measurement of proteomic responses. Results: To discover the signaling pathway responsive to RPPM, a new structure learning algorithm of Bayesian networks is developed based on mutual Information, conditional independence, and graph immorality. Trusted biology networksdoi:10.1186/1471-2105-11-s3-s9 pmid:20438656 pmcid:PMC2863068 fatcat:xzah3txtw5enxl67rj7inrm6xm