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Author (up) Ruz, G.A.; Zuniga, A.; Goles, E. pdf  doi
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  Title A Boolean network model of bacterial quorum-sensing systems Type Journal Article
  Year 2018 Publication International Journal of Data Mining and Bioinformatics Abbreviated Journal  
  Volume 21 Issue 2 Pages 123-144  
  Keywords  
  Abstract There are several mathematical models to represent gene regulatory networks, one of the simplest is the Boolean network paradigm. In this paper, we reconstruct a regulatory network of bacterial quorum-sensing systems, in particular, we consider Paraburkholderia phytofirmans PsJN which is a plant growth promoting bacteria that produces positive effects in horticultural crops like tomato, potato and grape. To learn the regulatory network from temporal expression pattern of quorum-sensing genes at root plants, we present a methodology that considers the training of perceptrons for each gene and then the integration into one Boolean regulatory network. Using the proposed approach, we were able to infer a regulatory network model whose topology and dynamic exhibited was helpful to gain insight on the quorum-sensing systems regulation mechanism. We compared our results with REVEAL and Best-Fit extension algorithm, showing that the proposed neural network approach obtained a more biologically meaningful network and dynamics, demonstrating the effectiveness of the proposed method.  
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  Series Volume Series Issue Edition  
  ISSN 1748-5673 ISBN Medium  
  Area Expedition Conference  
  Notes Approved no  
  Call Number UAI @ eduardo.moreno @ Serial 928  
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