Evolution -BasedGeneRegulatory NetworkofYeast CellCycle

In thework,we trytoconstruct the corresponding S-system andmodified power-low modelfrom a dataset. Thesetwomathematical modelsarehighly nonlinear. Thoughtheycanclearly describe reactions among genesinthebiological system, theidentification isatough work,especially forhugegenes. We adopttheevolution strategy toachieve 16-genes modeling with544or288 parameters. Thetime-course dataoftheyeast cell cycle is concerned. Theproposed twodifferent generegulatory networks andtheir corresponding pathways canprovide biological researchers forfurther experiments inyeast cell cycle control.