ArticleCommunicative & integrative biology2010
BN+1 Bayesian network expansion for identifying molecular pathway elements.
Article in Communicative & integrative biology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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4 citing papers in PubMed, 8 citations in OpenAlex.
- Bayesian network analysis of multi-compartmentalized immune responses in a murine model of sepsis and direct lung injury.BMC research notes · 2015Article
- A network-based approach for predicting missing pathway interactions.PLoS computational biology · 2012Article
- Proinflammatory caspase-2-mediated macrophage cell death induced by a rough attenuated Brucella suis strain.Infection and immunity · 2011Article
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3 authors at 1 institution in 1 country.
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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.
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