Outlier detection is a fundamental topic in robust statistics.Traditional outlier detection methods try to find a clean subset of given size,which is used to estimate the location vector and scatter matrix,and the out...Outlier detection is a fundamental topic in robust statistics.Traditional outlier detection methods try to find a clean subset of given size,which is used to estimate the location vector and scatter matrix,and the outliers can be flagged by the Mahalanobis distance.However,methods such as the minimum covariance determinant approach cannot be applied directly to high-dimensional data,especially when the dimension of the sample is greater than the sample size.A novel fast detection procedure based on a block diagonal partition is proposed,and the asymptotic distribution of the modified Mahalanobis distance is obtained.The authors verify the specificity and sensitivity of this procedure by simulation and real data analysis in high-dimensional settings.展开更多
目的探讨喜炎平注射液对重症手足口病幼鼠模型血浆代谢组学的影响。方法将45只1周龄SD大鼠按随机数字表法分为对照组(control,15只)、模型组(model,15只)和喜炎平组(XYP,15只),对照组大鼠不做任何处理,模型组大鼠腹腔注射肠道病毒EV71-B...目的探讨喜炎平注射液对重症手足口病幼鼠模型血浆代谢组学的影响。方法将45只1周龄SD大鼠按随机数字表法分为对照组(control,15只)、模型组(model,15只)和喜炎平组(XYP,15只),对照组大鼠不做任何处理,模型组大鼠腹腔注射肠道病毒EV71-BJ制备手足口病幼鼠模型,喜炎平组大鼠在腹腔注射EV71-BJ基础上,尾静脉注射100mg/kg的喜炎平。模型制备1天后采集血浆标本,利用超高压液相色谱串联四级杆飞行时间质谱技术(UPLC-Q-TOF-MS/MS)测定血浆代谢组学,利用Metaboscape 3.0软件比对鉴定内源性代谢物。通过MetaboAnalyst 5.0网站进行多元回归分析,包括主成分分析(principal components analysis,PCA)和偏最小二乘法判别分析(partial least squares discriminant analysis,PLS-DA)模式识别各代谢物的变化,筛选相关差异代谢物[P<0.05、变量权重值(variable important in projection,VIP)>1.5],并进一步通过KEGG分析相关代谢通路。结果PCA和PLS-DA模式识别结果显示,三组之间表现出聚类型分布,PLS-DA模式识别优于PCA;三组之间检出64个差异代谢物,其相关代谢途径包括精氨酸生物合成、精氨酸和脯氨酸代谢、丙氨酸、天冬氨酸和谷氨酸代谢和鞘脂代谢。结论喜炎平注射液影响重症手足口病幼鼠模型血浆氨基酸代谢和鞘脂代谢过程。展开更多
基金supported by the National Natural Science Foundation of China under Grant Nos.71873128 and 72111530199。
文摘Outlier detection is a fundamental topic in robust statistics.Traditional outlier detection methods try to find a clean subset of given size,which is used to estimate the location vector and scatter matrix,and the outliers can be flagged by the Mahalanobis distance.However,methods such as the minimum covariance determinant approach cannot be applied directly to high-dimensional data,especially when the dimension of the sample is greater than the sample size.A novel fast detection procedure based on a block diagonal partition is proposed,and the asymptotic distribution of the modified Mahalanobis distance is obtained.The authors verify the specificity and sensitivity of this procedure by simulation and real data analysis in high-dimensional settings.
文摘目的探讨喜炎平注射液对重症手足口病幼鼠模型血浆代谢组学的影响。方法将45只1周龄SD大鼠按随机数字表法分为对照组(control,15只)、模型组(model,15只)和喜炎平组(XYP,15只),对照组大鼠不做任何处理,模型组大鼠腹腔注射肠道病毒EV71-BJ制备手足口病幼鼠模型,喜炎平组大鼠在腹腔注射EV71-BJ基础上,尾静脉注射100mg/kg的喜炎平。模型制备1天后采集血浆标本,利用超高压液相色谱串联四级杆飞行时间质谱技术(UPLC-Q-TOF-MS/MS)测定血浆代谢组学,利用Metaboscape 3.0软件比对鉴定内源性代谢物。通过MetaboAnalyst 5.0网站进行多元回归分析,包括主成分分析(principal components analysis,PCA)和偏最小二乘法判别分析(partial least squares discriminant analysis,PLS-DA)模式识别各代谢物的变化,筛选相关差异代谢物[P<0.05、变量权重值(variable important in projection,VIP)>1.5],并进一步通过KEGG分析相关代谢通路。结果PCA和PLS-DA模式识别结果显示,三组之间表现出聚类型分布,PLS-DA模式识别优于PCA;三组之间检出64个差异代谢物,其相关代谢途径包括精氨酸生物合成、精氨酸和脯氨酸代谢、丙氨酸、天冬氨酸和谷氨酸代谢和鞘脂代谢。结论喜炎平注射液影响重症手足口病幼鼠模型血浆氨基酸代谢和鞘脂代谢过程。
