在人类微生物组研究中,用于机器学习应用的数据预处理概述
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A Method for Targeted 16S Sequencing of Human Milk Samples
Published on: March 23, 2018
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Eliana Ibrahimi1, Marta B Lopes2,3, Xhilda Dhamo4
1Department of Biology, Faculty of Natural Sciences, University of Tirana, Tirana, Albania.
Frontiers in microbiology
|October 23, 2023
概括
由于其独特的统计特性,分析人类微生物组测序数据具有挑战性. 本次审查强调了适当数据转换方法的有限使用,影响了研究的可复制性和可比性.
科学领域:
- 微生物组研究 微生物组研究
- 生物信息学是一种生物信息学.
- 统计分析 统计分析
背景情况:
- 大基因组测序是微生物组与宿主相互作用研究的关键.
- 微生物组数据带来了独特的统计挑战 (稀疏性,组成性).
- 标准分析方法可能无法充分应对这些挑战.
研究的目的:
- 在人类微生物组研究中审查预处理和转化方法.
- 评估采用处理微生物组数据统计特征的方法的情况.
- 为选择合适的数据转换技术提供指导.
主要方法:
- 对最近人类微生物组出版物的文献综述.
- 报告了预加工和转化方法的分析.
- 对微生物组数据特征的方法适宜性的评估.
主要成果:
- 仅限于采用适合微生物组数据统计特征的转换方法.
- 缺乏具体考虑的相对和基于规范化的转换的普遍性.
- 在许多研究中,关于数据预处理的信息不一致或缺失.
结论:
- 目前在微生物组数据转换方面的做法可能会阻碍可靠的分析.
- 方法的不完整报告引发了对可复制性和可比性的担忧.
- 需要指导来选择适合微生物组研究的转变.
相关概念视频
Introduction to the Human Microbiota
Microorganisms colonize various regions of the human body, including the mouth, nasal passages, throat, stomach, intestines, urogenital tract, and skin. The total number of microbial cells is estimated to range from 10¹³ to 10¹⁴—comparable to, or exceeding, the number of human somatic cells. This host–microbiome relationship has led to the conceptualization of humans as supraorganisms, wherein microbial communities perform vital roles in development, immunity, and disease...
Development of Human Microbiota
The human microbiota begins developing at birth and undergoes continual change as we age. Infancy marks a critical period of microbial sensitivity, offering a “window of opportunity” during which beneficial microbes help mature the immune system. By age three, children typically develop a more stable and diverse microbial community. Newborns acquire microbes from their immediate environment; vaginal delivery favors maternal vaginal microbes, while cesarean births favor microbes from the skin...

