Assessing the Effectiveness of Direct Data Merging Strategy in Long-Term and Large-Scale Pharmacometabonomics

Assessing the Effectiveness of Direct Data Merging Strategy in Long-Term and Large-Scale Pharmacometabonomics

Because of the extended period of clinic data collection and huge size of analyzed samples, the long-term and large-scale pharmacometabonomics profiling is frequently encountered in the discovery of drug/target and the guidance of personalized medicine. So far, integration of the results (ReIn) from...

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Bibliographic Details
Main Authors: Xuejiao Cui, Qingxia Yang, Bo Li, Jing Tang, Xiaoyu Zhang, Shuang Li, Fengcheng Li, Jie Hu, Yan Lou, Yunqing Qiu, Weiwei Xue, Feng Zhu
Format: Article
Language:English
Published: Frontiers Media S.A. 2019-02-01
Series:Frontiers in Pharmacology
Subjects:
direct data merging
classification capacity
robustness
false discovery rate
long-term and large-scale metabolomics
Online Access:https://www.frontiersin.org/article/10.3389/fphar.2019.00127/full

Internet

https://www.frontiersin.org/article/10.3389/fphar.2019.00127/full

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