Revealing quality chemicals of Tetrastigma hemsleyanum roots in different geographical origins using untargeted metabolomics and random-forest based spectrum-effect analysis
Chu Chu, Yangbin Lv, Xingda Yao, Hongwei Ye, Chenyue Li, Xin Peng, Zhiwei Gao, Keji Mao
Topics & Concepts
KEGGMetabolomicsFlavonoidComputational biologyBiologyMetabolic pathwayRandom forestGeneAntioxidantBiochemistryBioinformaticsGene ontologyComputer scienceMachine learningGene expressionTea Polyphenols and EffectsMetabolomics and Mass Spectrometry StudiesPhytochemicals and Antioxidant Activities