A sequence-matching model of complex interactions

A sequence-matching model of complex interactions

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.

Istanbul Technical University and Feza Gursey Insitute

The event is finished.

Date

27 June 2007
Expired!

Time

11h00 – 0h00

Location

Pièce 026, Bât. 774
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