298 search results - page 2 / 60 » Stochastic neural network models for gene regulatory network... |
JCB
2006
13 years 6 months ago
2006
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...
BMCBI
2007
13 years 6 months ago
2007
Background: This work explores the quantitative characteristics of the local transcriptional regulatory network based on the availability of time dependent gene expression data se...
NN
2007
Springer
13 years 5 months ago
2007
Springer
In the last decade, recurrent neural networks (RNNs) have attracted more efforts in inferring genetic regulatory networks (GRNs), using time series gene expression data from micro...
ICONIP
2004
13 years 7 months ago
2004
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...
JCB
2002
13 years 6 months ago
2002
In order to understand the functioning of organisms on the molecular level, we need to know which genes are expressed, when and where in the organism, and to which extent. The reg...