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CIBB
2009
13 years 8 months ago
On the Use of Temporal Formal Logic to Model Gene Regulatory Networks
Modelling activities in molecular biology face the difficulty of prediction to link molecular knowledge with cell phenotypes. Even when the interaction graph between molecules is k...
Gilles Bernot, Jean-Paul Comet
BMCBI
2005
122views more  BMCBI 2005»
13 years 7 months ago
A microarray data-based semi-kinetic method for predicting quantitative dynamics of genetic networks
Background: Elucidating the dynamic behaviour of genetic regulatory networks is one of the most significant challenges in systems biology. However, conventional quantitative predi...
Katsuyuki Yugi, Yoichi Nakayama, Shigen Kojima, To...
GECCO
2005
Springer
180views Optimization» more  GECCO 2005»
14 years 1 months ago
Inference of gene regulatory networks using s-system and differential evolution
In this work we present an improved evolutionary method for inferring S-system model of genetic networks from the time series data of gene expression. We employed Diļ¬€erential Ev...
Nasimul Noman, Hitoshi Iba
ICIC
2009
Springer
13 years 5 months ago
Inference of Differential Equation Models by Multi Expression Programming for Gene Regulatory Networks
This paper presents an evolutionary method for identifying the gene regulatory network from the observed time series data of gene expression using a system of ordinary differential...
Bin Yang, Yuehui Chen, Qingfang Meng
BIBM
2008
IEEE
145views Bioinformatics» more  BIBM 2008»
14 years 1 months ago
Meta Analysis of Microarray Data Using Gene Regulation Pathways
Using microarray technology for genetic analysis in biological experiments requires computationally intensive tools to interpret results. The main objective here is to develop a ā...
Saira Ali Kazmi, Yoo-Ah Kim, Baikang Pei, Ravi Nor...