微生物组数据分析的方法:概述
Irene Creus-Martí1, Andrés Moya2, Francisco J Santonja3
1Department of Applied Mathematics, Universitat Politècnica de València, Valencia, Spain.
Computers in biology and medicine
|April 25, 2025
概括
人类微生物组显著影响健康,并提供临床潜力. 本综述详细介绍了分析复杂微生物组数据的统计方法,特别是纵向数据集,有助于研究细菌行为和健康.
科学领域:
- 微生物学 微生物学
- 生物信息学是一种生物信息学.
- 生物统计学 生物统计学
背景情况:
- 人类微生物组在健康和疾病中起着至关重要的作用.
- 新兴研究强调了微生物组的潜在临床应用.
- 由于微生物组的复杂性,分析微生物组数据带来了独特的统计挑战.
研究的目的:
- 审查微生物组数据的特征.
- 总结微生物组数据分析的流行的统计方法,区分纵向和非纵向方法.
- 为生物学和统计学研究人员提供参考资料.
主要方法:
- 基于分析目标和数学属性的统计方法的分类.
- 方法的分类,考虑它们对纵向数据和非纵向数据的适用性.
- 建立和新兴分析策略的结构化概述.
主要成果:
- 微生物组数据表现出明显的特征,使统计分析复杂化.
- 有一系列的统计方法用于分析微生物群,适合不同类型的数据 (纵向/非纵向) 的适用性各不相同.
- 基于生物学目标和数学基础的方法被介绍.
结论:
- 这一综述是微生物组数据分析的基础参考.
- 它强调了研究纵向微生物群数据集的专业方法的重要性.
- 这项工作旨在指导微生物组分析领域的未来研究方向.
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