Title :
Computation Intelligent for Eukaryotic Cell-Cycle Gene Network
Author :
Wu, Shinq-Jen ; Wu, Cheng-Tao ; Lee, Tsu-Tian
Author_Institution :
Dept. of Electr. Eng., Da-Yeh Univ., Chang-Hwa
fDate :
Aug. 30 2006-Sept. 3 2006
Abstract :
Computational intelligent approaches is adopted to construct the S-system of eukaryotic cell cycle for further analysis of genetic regulatory networks. A highly nonlinear power-law differential equation is constructed to describe the transcriptional regulation of gene network from the time-courses dataset. Global artificial algorithm, based on hybrid differential evolution, can achieve global optimization for the highly nonlinear differential gene network modeling. The constructed gene regulatory networks will be a reference for researchers to realize the inhibitory and activatory operator for genes synthesis and decomposition in Eukaryotic cell cycle
Keywords :
cellular biophysics; genetics; molecular biophysics; nonlinear differential equations; optimisation; parameter estimation; S-system; decomposition; eukaryotic cell-cycle gene network; gene synthesis; global optimization; hybrid differential evolution; nonlinear differential gene network modeling; nonlinear power-law differential equation; parameter estimation; transcriptional regulation; Cities and towns; Competitive intelligence; Computer networks; DNA; Differential equations; Genetic programming; Intelligent networks; Network synthesis; Power system modeling; Proteins; S system; cell cycle; hybrid differential evolution; parameter estimation;
Conference_Titel :
Engineering in Medicine and Biology Society, 2006. EMBS '06. 28th Annual International Conference of the IEEE
Conference_Location :
New York, NY
Print_ISBN :
1-4244-0032-5
Electronic_ISBN :
1557-170X
DOI :
10.1109/IEMBS.2006.260339