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      • Department of Electrical and Electronics Engineering
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      G-network modelling based abnormal pathway detection in gene regulatory networks

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      Author
      Kim H.
      Atalay, Rengül
      Gelenbe, E.
      Date
      2012
      Source Title
      Computer and Information Sciences II
      Publisher
      Springer, London
      Pages
      257 - 263
      Language
      English
      Type
      Conference Paper
      Book Chapter
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      Abstract
      Gene expression centered gene regulatory networks studies can provide insight into the dynamics of pathway activities that depend on changes in their environmental conditions. Thus we propose a new pathway analysis approach to detect differentially behaving pathways in abnormal conditions based on G-network theory. Using this approach gene regulatory network model parameters are estimated from normal and abnormal samples using optimization techniques with corresponding constraints. We show that in a "p53 network" application, the proposed method effectively detects anomalous activated/inactivated pathways related with MDM2, ATM/ATR and RB1 genes, which could not be observed from previous analyses of gene regulatory network normal and abnormal behaviour. © 2012 Springer-Verlag London Limited.
      Keywords
      Abnormal behaviours
      Abnormal conditions
      Abnormal samples
      Environmental conditions
      Gene regulatory network model
      Gene regulatory networks
      Optimization techniques
      Pathway activities
      Gene expression
      Information science
      Permalink
      http://hdl.handle.net/11693/28121
      Published Version (Please cite this version)
      https://doi.org/10.1007/978-1-4471-2155-8_32
      https://doi.org/10.1007/978-1-4471-2155-8
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