Learning a markov logic network for supervised gene regulatory network inference

HIGHLIGHTS

• who: Brouard et_al BMC Bioinformatics et al. from the (UNIVERSITY) have published the paper: Learning a Markov Logic network for supervised gene regulatory network inference, in the Journal: (JOURNAL)
• what: The authors explore the framework of Markov Logic Networks (MLN) that combine features of probabilistic graphical models with the expressivity of first-order logic rules. The authors propose to learn a Markov Logic network e_g a set of weighted rules that conclude on the predicate "regulates" starting from a known gene regulatory network involved in the switch proliferation/differentiation of keratinocyte cells a set of . . .
  

   

  

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