HerbMet: Enhancing metabolomics data analysis for accurate identification of Chinese herbal medicines using deep learning.

Yuyang ShaMeiting JiangGang LuoWeiyu MengXiaobing ZhaiHongxin PanJunrong LiYan YanYongkang QiaoWenzhi YangKefeng Li

Published in: Phytochemical analysis : PCA (2024)

HerbMet surpasses existing solutions for identifying Chinese herbal medicines species. It is simple to use in real-world scenarios, eliminating the need for feature ranking and selection in classical machine learning-based methods.

Keyphrases

data analysis
machine learning
deep learning
artificial intelligence
climate change
mass spectrometry
big data
convolutional neural network
high resolution
bioinformatics analysis
genetic diversity