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
в Zh
| WPRIM
| ID: wpr-888183
Ответственная библиотека:
WPRO
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.
Key words
Полный текст:
1
База данных:
WPRIM
Основная тема:
Neural Networks, Computer
/
Tibet
/
Cordyceps
/
Geography
/
Amino Acids
Тип исследования:
Diagnostic_studies
/
Prognostic_studies
Страна как тема:
Asia
Язык:
Zh
Журнал:
China Journal of Chinese Materia Medica
Год:
2021
Тип:
Article