Modeling delayed dynamics in biological regulatory networks from time series data

HIGHLIGHTS

  • who: Ben Abdallah et al. from the Department of Computer Science, Tokyo Institute of Technology, Oookayama, Meguro-ku, Tokyo, Japan have published the Article: Modeling Delayed Dynamics in Biological Regulatory Networks from Time Series Data, in the Journal: (JOURNAL)
  • what: The authors propose a new methodology for models expressed through a timed extension of the automata networks (well suited for biological systems). The aim is to have a resulting network as consistent as possible with the observed datasets. The authors show the benefits of such an automatic approach on dynamical biological models the DREAM4(in . . .

     

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