首页|Changchun University of Chinese Medicine Reports Findings in Machine Learning (U ntargeted Metabolomics and Soil Community Metagenomics Analyses Combined with Ma chine Learning Evaluation Uncover Geographic Differences in Ginseng from Differe nt ...)
Changchun University of Chinese Medicine Reports Findings in Machine Learning (U ntargeted Metabolomics and Soil Community Metagenomics Analyses Combined with Ma chine Learning Evaluation Uncover Geographic Differences in Ginseng from Differe nt ...)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Machine Learning is th e subject of a report. According to news originating from Changchun, People's Re public of China, by NewsRx correspondents, research stated, "C.A. Meyer, known a s the ‘King of Herbs,' has been used as a nutritional supplement for both food a nd medicine with the functions of relieving fatigue and improving immunity for t housands of years in China." Our news journalists obtained a quote from the research from the Changchun Unive rsity of Chinese Medicine, "In agricultural planting, soil environments of diffe rent geographical origins lead to obvious differences in the quality of ginseng, but the potential mechanism of the differences remains unclear. In this study, 20 key differential metabolites, including ginsenoside Rb1, glucose 6-phosphate, etc., were found in ginseng from 10 locations in China using an ultra-high perf ormance liquid chromatographyquadrupole time-of-flight mass spectrometry (UHPLC -QTOF-MS)-untargeted metabolomics approach. The soil properties were analyzed and combined with metagenomics technology to explore the possible relationships am ong microbial elements in planting soil. Through Spearman correlation analysis, it was found that the top 10 microbial colonies with the highest abundance in th e soil were significantly correlated with key metabolites. In addition, the rela tionship model established by the random forest algorithm and the quantitative r elationship between soil microbial abundance and ginseng metabolites were succes sfully predicted. The XGboost model was used to determine 20®-ginseng Rg2 and 2' ®-ginseng Rg3 as feature labeled metabolites, and the optimal ginseng production area was discovered."
ChangchunPeople's Republic of ChinaA siaCyborgsEmerging TechnologiesMachine Learning
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