A sequence-matching model of complex interactions
Ayse Erzan
Istanbul Technical University and Feza Gursey Insitute
Mercredi 27/06/2007, 11:00
Pièce 026, Bât. 774, Orme des Merisiers
We have recently proposed a network model based on information sharing, realized as a sequence matching condition between strings associated with nodes. We have applied this to modeling the transcriptional gene regulatory network of yeast, with very convincing results. A dilute Potts neural network model motivated by this approach can be solved by standard methods.


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