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规范ISWSVR在大规模目标定量化新陈代谢中提高了数据的可重复性和准确性.

Jinpeng Bai1, Chenxi Li1, Mingmin Qian1

  • 1Key Laboratory of Mass Spectrometry Imaging and Metabolomics (Minzu University of China), State Ethnic Affairs Commission, Center for Imaging and Systems Biology, College of Life and Environmental Sciences, Minzu University of China, Beijing 100081, P. R. China.

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概括

一种名为Norm ISWSVR的新方法有效地使目标定量代谢学数据正常化. 这种方法通过减少批量效应和分析漂移显著提高了数据质量,提高了代谢物量化精度.

关键词:
标准 ISWSVR 是一个标准.批量效应 批量效应 批量效应信号漂移信号漂移的情况有针对性的代谢组合学.

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科学领域:

  • 代谢学 代谢学 代谢学
  • 分析化学 分析化学
  • 生物技术是生物技术.

背景情况:

  • 在使用液态染色体质量谱的目标量化代谢学中保持高质量的数据是具有挑战性的.
  • 规范化方法对于纠正批量效应和代谢分析中的分析漂移等变异至关重要.
  • 现有的规范化技术需要进一步评估以获得最佳性能.

研究的目的:

  • 为了评估Norm ISWSVR在目标量化代谢学中的正常化疗效.
  • 为了比较Norm ISWSVR与已建立的方法,如IS规范化和SERRF规范化.
  • 确定标准ISWSVR对数据质量和代谢物量化精度的影响.

主要方法:

  • 在目标量化代谢学中评估标准ISWSVR规范化.
  • 将标准ISWSVR与IS规范化和SERRF规范化进行比较.
  • 评估减轻批量效应,减少质量控制样本的相对标准偏差,并纠正信号漂移.

主要成果:

  • 标准ISWSVR在减轻批量效应方面表现出异常的有效性.
  • 该方法显著降低了质量控制样本的相对标准偏差.
  • 标准ISWSVR有效地纠正了信号漂移,从而提高了代谢物量化的精度.

结论:

  • 标准ISWSVR是一种强大可靠的方法,用于提高目标代谢学数据质量.
  • 正常化方法提高了可量化的代谢产品的数量,并且具有很高的精度.
  • 标准ISWSVR显示承诺作为未来代谢学研究的有价值的工具.