Evolution -BasedGeneRegulatory NetworkofYeast CellCycle
暂无分享,去创建一个
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.
[1] Nir Friedman,et al. Inferring subnetworks from perturbed expression profiles , 2001, ISMB.
[2] Zbigniew Michalewicz,et al. Genetic Algorithms + Data Structures = Evolution Programs , 1996, Springer Berlin Heidelberg.
[3] Bor-Sen Chen,et al. Quantitative characterization of the transcriptional regulatory network in the yeast cell cycle , 2004, Bioinform..