title: BN+1 Bayesian network expansion for identifying molecular pathway elements.
abstract: A Bayesian network expansion algorithm called BN+1 was developed to identify undocumented gene interactions in a known pathway using microarray gene expression data. In our recent paper, the BN+1 algorithm has been successfully used to identify key regulators including uspE in the E. coli ROS pathway and biofilm formation.18 In this report, a synthetic network was designed to further evaluate this algorithm. The BN+1 method was found to identify both linear and nonlinear relationships and correctly identify variables near the starting network. Using experimentally derived data, the BN+1 method identifies the gene fdhE as a potentially new ROS regulator. Finally, a range of possible score cutoff methods are explored to identify a set of criteria for selecting BN+1 calls.
authors.affiliation: Center for Computational Medicine and Bioinformatics; University of Michigan Medical School; University of Michigan; Michigan USA.
authors.forename: Andrew P
authors.initials: AP
authors.lastname: Hodges
authors.forename: Peter
authors.initials: P
authors.lastname: Woolf
authors.forename: Yongqun
authors.initials: Y
authors.lastname: He