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Taylor and Francis Group, Communicative and Integrative Biology, 6(3), p. 549-554, 2010

DOI: 10.4161/cib.3.6.12845

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BN+1 Bayesian network expansion for identifying molecular pathway elements

Journal article published in 2010 by Andrew P. Hodges, Peter Woolf, Yongqun He ORCID
This paper is available in a repository.
This paper is available in a repository.

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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.