Identification of geographical origins of Cordyceps based on data of amino acids with self-organizing map neural network / 中国中药杂志
China Journal of Chinese Materia Medica
;
(24): 4765-4773, 2021.
Article
in Chinese
| WPRIM
| ID: wpr-888183
ABSTRACT
In this study, data of amino acids of Cordyceps samples from Qinghai and Tibet was analyzed with self-organizing map neural network. A model of XY-Fused network was established with the content of 8 major amino acids and total amino acids for the identification of geographical origins of Cordyceps from Qinghai and Tibet. It had the prediction accuracy of 83.3% for the test set. In addition, data mining indicated that methionine was a special kind of amino acid in Cordyceps which could serve as a marker to identify its geographical origins. On this basis, the content ratio of methionine to total amino acids was proposed to be a quantifiable indicator to distinguish Cordyceps from Qinghai and Tibet.
Full text:
Available
Index:
WPRIM (Western Pacific)
Main subject:
Neural Networks, Computer
/
Tibet
/
Cordyceps
/
Geography
/
Amino Acids
Type of study:
Diagnostic study
/
Prognostic study
Country/Region as subject:
Asia
Language:
Chinese
Journal:
China Journal of Chinese Materia Medica
Year:
2021
Type:
Article
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