摘要
本文利用从为期7日的生酮饮食断食减重实验中搜集得到的7名志愿者的生物数据(主要是RNA、蛋白质、血常规和体脂),首先用非参数检验的方法筛选出数据中共有的非随机特征,并使用非参数的方法衡量各个特征之间的非线性相关性;然后,以此建立断食减重过程的系统生物学模型,根据数据和模型,讨论了生酮饮食断食减重法对免疫系统和肝脏的影响;最后,利用混合效应模型对参与者的减重效果特异性进行了检验.
Based on 7 subjects' biological data(RNA protein,blood,body fat)collected in a 7-day starvation experiment,this passage utilizes a novel nonparametric method to screen out the features that are random or not shared by all subjects,and measures the nonlinear dependencies among the selected features by applying a nonparametric method.A systematic biology model based on these dependencies is then constructed to explain the biological phenomenon appearing inside human body during the experiment.The result of our analysis indicates good consistencies with current researches,and some inconsistencies with latest researches are also reported.Considering the data is longitudinal,a linear mixed effects model is built to quantify the relationship between weight and time,followed by a statistical test which justifies the specificities of different subjects.
作者
周园
张海锐
尚建辉
ZHOU Yuan;ZHANG Hairui;SHANG Jianhui(School of Mathematical Science,Shanghai Jiao Tong University,Shanghai 200240,China;School of Environmental Science and Engineering,Shanghai Jiao Tong University Shanghai 200240,China)
出处
《数学建模及其应用》
2019年第3期54-58,78,共6页
Mathematical Modeling and Its Applications
关键词
断食减重
非参数检验
非参数相关性
调控模型
混合效应模型
starvation experiment
nonparametric test
nonparametric correlation
regulating model
mixed effects model
