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SAC
2008
ACM
13 years 5 months ago
Bayesian inference for a discretely observed stochastic kinetic model
The ability to infer parameters of gene regulatory networks is emerging as a key problem in systems biology. The biochemical data are intrinsically stochastic and tend to be observ...
Richard J. Boys, Darren J. Wilkinson, Thomas B. L....
BMCBI
2010
164views more  BMCBI 2010»
13 years 6 months ago
Gene regulatory networks modelling using a dynamic evolutionary hybrid
Background: Inference of gene regulatory networks is a key goal in the quest for understanding fundamental cellular processes and revealing underlying relations among genes. With ...
Ioannis A. Maraziotis, Andrei Dragomir, Dimitris T...
JCB
2002
131views more  JCB 2002»
13 years 5 months ago
Modeling and Simulation of Genetic Regulatory Systems: A Literature Review
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...
Hidde de Jong
ICONIP
2004
13 years 7 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
BMCBI
2007
165views more  BMCBI 2007»
13 years 6 months ago
Automatic reconstruction of a bacterial regulatory network using Natural Language Processing
Background: Manual curation of biological databases, an expensive and labor-intensive process, is essential for high quality integrated data. In this paper we report the implement...
Carlos Rodríguez Penagos, Heladia Salgado, ...