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Nature Protocols reports a metabolomics data processing method based on machine learning and parallel computing

 Last Update: 2022-01-07
 Source: Internet
 Author: User

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Metabolomics is a discipline that simultaneously conducts qualitative and quantitative analysis of all metabolites of a certain organism or cell in a specific physiological period.

Recently, the team of Professor Feng Zhu from the School of Pharmacy of Zhejiang University and the Institute of Intelligent Innovative Medicines and the Alibaba - Zhejiang University Future Digital Healthcare Joint Research Center published a research paper entitled " Optimization of metabolomic data processing using NOREVA" in " Nature Protocols " .

In order to solve the problem of computing resource bottlenecks faced in the process of large-scale scanning of massive signal processing procedures, this research introduces the parallel computing architecture into metabolomics data processing for the first time

Doctoral students Fu Jianbo and Zhang Ying from the School of Pharmacy of Zhejiang University are the co-first authors of the article, and Professor Feng Zhu from the School of Pharmacy of Zhejiang University and the Institute of Intelligent Innovative Drugs is the corresponding author

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