WaveICA 2.0: a novel batch effect removal method for untargeted metabolomics data without using batch information.

Kui DengFalin ZhaoZhiwei RongLei CaoLiuchao ZhangKang LiYan HouZheng-Jiang Zhu

Published in: Metabolomics : Official journal of the Metabolomic Society (2021)

Our results demonstrated that the WaveICA 2.0 method can be used in practice to remove batch effects for untargeted metabolomics data without batch information.

Keyphrases

mass spectrometry
anaerobic digestion
electronic health record
liquid chromatography
big data
primary care
healthcare
health information
high resolution mass spectrometry
machine learning
artificial intelligence
deep learning