Reverse engineering of dynamic networks.

نویسندگان

  • B Stigler
  • A Jarrah
  • M Stillman
  • R Laubenbacher
چکیده

We consider the problem of reverse-engineering dynamic models of biochemical networks from experimental data using polynomial dynamic systems. In earlier work, we developed an algorithm to identify minimal wiring diagrams, that is, directed graphs that represent the causal relationships between network variables. Here we extend this algorithm to identify a most likely dynamic model from the set of all possible dynamic models that fit the data over a fixed wiring diagram. To illustrate its performance, the method is applied to simulated time-course data from a published gene regulatory network in the fruitfly Drosophila melanogaster.

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عنوان ژورنال:
  • Annals of the New York Academy of Sciences

دوره 1115  شماره 

صفحات  -

تاریخ انتشار 2007