Optimization of metabolomic data processing using NOREVA

Zhaorong Li, Jing Tang, Jianbo Fu, Ying Zhang, Yunxia Wang, Hongning Zhang, Jin Liu, Qingxia Yang, Huaicheng Sun, Wenqi Qiu, Yinghui Ma, Mingyue Zheng, Feng Zhu

Published: 2021-12-23 DOI: 10.1038/s41596-021-00636-9

NOREVA

metabolomic data processing

optimization

performance criteria

R package

AI 解读

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A typical output of a metabolomic experiment is a peak table corresponding to the intensity of measured signals. Peak table processing, an essential procedure in metabolomics, is characterized by its study dependency and combinatorial diversity. While var
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References
ACKNOWLEDGMENTS

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Optimization of metabolomic data processing using NOREVA

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