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JCB
2006
114views more  JCB 2006»
13 years 8 months ago
A General Modeling Strategy for Gene Regulatory Networks with Stochastic Dynamics
A stochastic genetic toggle switch model that consists of two identical, mutually repressive genes is built using the Gillespie algorithm with time delays as an example of a simpl...
Andre Ribeiro, Rui Zhu, Stuart A. Kauffman
GECCO
2008
Springer
179views Optimization» more  GECCO 2008»
13 years 9 months ago
Evolution of discrete gene regulatory models
Gene regulatory networks (GRNs) are complex control systems that govern the interaction of genes, which ultimately control cellular processes at the protein level. GRNs can be ted...
Afshin Esmaeili, Christian Jacob
EVOW
2009
Springer
14 years 3 months ago
Predicting Turning Points in Financial Markets with Fuzzy-Evolutionary and Neuro-Evolutionary Modeling
Two independent evolutionary modeling methods, based on fuzzy logic and neural networks respectively, are applied to predicting trend reversals in financial time series, and their...
Antonia Azzini, Célia da Costa Pereira, And...
EUSFLAT
2009
173views Fuzzy Logic» more  EUSFLAT 2009»
13 years 6 months ago
Application of Zadeh's Impossibility Principle to Approximate Explanation
Abstract: We consider application of Zadeh's impossibility principle and extended logic FLe to approximate scientific explanation from the standpoint of the philosophy of scie...
Vesa A. Niskanen
ICONIP
2004
13 years 10 months ago
Modeling Gene Regulatory Network in Fission Yeast Cell Cycle Using Hybrid Petri Nets
The complexity of gene regulatory network models stems from the fact that the models should be able to represent continuous, discrete as well as stochastic aspects of gene regulati...
Ranjith Vasireddy, Somenath Biswas