Removal of batch effects for large-scale untargeted metabolomics data based on wavelet analysis. The WaveICA R package provides a new algorithm to removing batch effects for metabolomics data. The details of this method are in the paper "WaveICA: a novel algorithm to remove batch effects for large-scale untargeted metabolomics data based on wavelet analysis".
You can install WaveICA Package Using the following commands:
library(devtools)
devtools::install_github("dengkuistat/WaveICA",host="https://api.github.com")
When using this method, please cite as: Kui Deng, Fan Zhang, Qilong Tan, Yue Huang, Wei Song, Zhiwei Rong, Zhengjiang Zhu, Kang Li, Zhenzi Li. WaveICA: a novel algorithm to remove batch effects for large-scale untargeted metabolomics data based on wavelet analysis. Analytica Chimica Acta, 2019, 1061: 60-69.
If you have any questions, please contact me. Email: dengkui_stat@163.com or dengkui@westlake.edu.cn