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» Current approaches to gene regulatory network modelling
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IJDMB
2007
119views more  IJDMB 2007»
13 years 8 months ago
Simulation study in Probabilistic Boolean Network models for genetic regulatory networks
: Probabilistic Boolean Network (PBN) is widely used to model genetic regulatory networks. Evolution of the PBN is according to the transition probability matrix. Steady-state (lon...
Shuqin Zhang, Wai-Ki Ching, Michael K. Ng, Tatsuya...
GECCO
2006
Springer
165views Optimization» more  GECCO 2006»
14 years 1 days ago
Comparing mathematical models on the problem of network inference
In this paper we address the problem of finding gene regulatory networks from experimental DNA microarray data. We focus on the evaluation of the performance of different mathemat...
Christian Spieth, Nadine Hassis, Felix Streichert
IJBRA
2008
101views more  IJBRA 2008»
13 years 8 months ago
Analysing formal models of genetic regulatory networks with delays
: In this paper, we propose a refinement of the modelling of biological regulatory networks based on the discrete approach of Ren
Jamil Ahmad, Olivier Roux, Gilles Bernot, Jean-Pau...
BMCBI
2007
197views more  BMCBI 2007»
13 years 8 months ago
Boolean networks using the chi-square test for inferring large-scale gene regulatory networks
Background: Boolean network (BN) modeling is a commonly used method for constructing gene regulatory networks from time series microarray data. However, its major drawback is that...
Haseong Kim, Jae K. Lee, Taesung Park
CIARP
2009
Springer
14 years 3 months ago
Analysis of the GRNs Inference by Using Tsallis Entropy and a Feature Selection Approach
Abstract. An important problem in the bioinformatics field is to understand how genes are regulated and interact through gene networks. This knowledge can be helpful for many appl...
Fabrício Martins Lopes, Evaldo A. de Olivei...