SIMCA-回归分析项目说明书

前言：

回归分析是功能代谢组学研究的重要工具，通过建立回归模型可考察组学多元变量数据与功能、质量、等级等宏观数据之间的关联，从而实现筛选重要变量、建立评价标准和预测结果等目的。

应用场景：

1 临床诊断

2 茶叶、中药材、食品等感官品评值与代谢物数据关联

3 药效（存活率、功能数据等）与代谢物数据

4 产量与生产条件、细胞内代谢物等回归分析

参考文献：

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• Wu C, Hua Z, Van W G P, et al. Metabolomics-guided analysis of isocoumarin production by Streptomy cesspecies MBT76 and biotransformation of flavonoids and phenylpropanoids [J]. Metabolomics, 2016,12(5):90.

• Jing J, Shi Y, Zhang Q, et al. Prediction of Chinese green tea ranking by metabolite profiling using ultraperformance liquid chromatography-quadrupole time-of-flight mass spectrometry (UPLC-Q-TOF/MS) [J]. Food Chemistry, 2017, 221:311-316.

• 2017, 169(5):862-877.Li S, Sullivan N L, Rouphael N, et al. Metabolic Phenotypes of Response to Vaccination in Humans[J]. Cell, 2017, 169(5):862-877.