A Reference Feature based method for Quantification and Identification of LC-MS based untargeted metabolomics
enhui luan, Ken Cheng, Qiaoyun Long, Dehua Li, Zhenyu Li, Binghang Liu, Yalan Wang, Wei Li, Baosen Guo, Fengji Tan, Xiaoyi Yi, Lei Feng, Jiaping Song, Hancheng Zheng
This paper introduces RFQI, a reference-feature based method for quantification and identification in LC-MS untargeted metabolomics, improving batch consistency and metabolite detection efficiency.
bioRxiv · Mar 26, 2020 · PreprintBioinformatics