title: Computation intelligent for eukaryotic cell-cycle gene network.
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.
authors.affiliation: Dept. of Electr. Eng., Da-Yeh Univ., Chang-Hwa, Taiwan, ROC. jen@cn.nctu.edu.tw
authors.forename: Shinq-Jen
authors.initials: SJ
authors.lastname: Wu
authors.forename: Cheng-Tao
authors.initials: CT
authors.lastname: Wu
authors.forename: Tsu-Tian
authors.initials: TT
authors.lastname: Lee
mesh_terms: D002453:Cell Cycle / Q000502:physiology*; D018797:Cell Cycle Proteins / Q000378:metabolism*; D003198:Computer Simulation; D005057:Eukaryotic Cells / Q000166:cytology* / Q000378:metabolism*; D005786:Gene Expression Regulation / Q000502:physiology*; D008954:Models, Biological; D015398:Signal Transduction / Q000502:physiology*
chemical_list: D018797:Cell Cycle Proteins