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dc.contributor.authorShinq-Jen Wuen_US
dc.contributor.authorCheng-Tao Wuen_US
dc.contributor.authorChia-Hsien Chouen_US
dc.contributor.authorTsu-Tian Leeen_US
dc.date.accessioned2017-04-21T06:48:19Z-
dc.date.available2017-04-21T06:48:19Z-
dc.date.issued2006en_US
dc.identifier.isbn978-1-4244-0099-7en_US
dc.identifier.issn1062-922Xen_US
dc.identifier.urihttp://dx.doi.org/10.1109/ICSMC.2006.384893en_US
dc.identifier.urihttp://hdl.handle.net/11536/135197-
dc.description.abstractIn the work, we try to construct the corresponding S-system and modified power-low model from a dataset. These two mathematical models are highly nonlinear. Though they can clearly describe reactions among genes in the biological system, the identification is a tough work, especially for huge genes. We adopt the evolution strategy to achieve 16-genes modeling with 544 or 288 parameters. The time-course data of the yeast cell cycle is concerned. The proposed two different gene regulatory networks and their corresponding pathways can provide biological researchers for further experiments in yeast cell cycle control.en_US
dc.language.isoen_USen_US
dc.titleEvolution - Based gene regulatory network of yeast cell cycleen_US
dc.typeProceedings Paperen_US
dc.identifier.doi10.1109/ICSMC.2006.384893en_US
dc.identifier.journal2006 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS, VOLS 1-6, PROCEEDINGSen_US
dc.citation.spage1291en_US
dc.citation.epage+en_US
dc.contributor.department電控工程研究所zh_TW
dc.contributor.departmentInstitute of Electrical and Control Engineeringen_US
dc.identifier.wosnumberWOS:000248078501066en_US
dc.citation.woscount1en_US
Appears in Collections:Conferences Paper