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使用代谢学发现生物标志物的统计方法和资源.

Najeha R Anwardeen1, Ilhame Diboun2, Younes Mokrab2

  • 1Research and Graduate Studies, Biomedical Research Center, Qatar University, P.O. Box 2713, Doha, Qatar.

BMC bioinformatics
|June 15, 2023
PubMed
概括

代谢学研究生物化学变化,以了解疾病. 本综述调查了分析代谢学数据的统计工具,以发现临床用途的生物标志物.

关键词:
分析工作流的分析工作流.代谢学 代谢学 代谢学代谢学工具是代谢学工具.多变量是多变量的.统计方法 统计方法单变异的 单变异的

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科学领域:

  • 生物化学 生化学
  • 基因组学就是基因组学.
  • 临床诊断 临床诊断 临床诊断

背景情况:

  • 代谢学提供了对生理状态和疾病机制的深刻见解.
  • 代谢特征对遗传和环境因素非常敏感.
  • 丰富的高通量代谢学数据需要强大的统计分析.

研究的目的:

  • 审查在代谢学中的生物标志物发现的统计方法.
  • 确定用于代谢学数据分析和解释的可用的统计工具.

主要方法:

  • 对代谢学中的统计方法的调查.
  • 编制相关的统计软件和工具.
  • 专注于生物标志物发现应用.

主要成果:

  • 确定适用于代谢学的各种统计技术.
  • 支持数据分析和解释的工具概述.
  • 强调统计学严谨性对临床翻译的重要性.

结论:

  • 统计分析对于从代谢学数据中提取有意义的见解至关重要.
  • 适当的工具对于可靠的生物标志物发现至关重要.
  • 代谢学的进步需要复杂的统计方法用于临床应用.