检测和减轻微生物组数据中的双胞胎偏差:对机器学习和疾病分类的影响
Ruwen Zhou1, Siu Kin Ng1, Joseph J Y Sung1,2
1Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore.
Gut microbes
|September 1, 2025
概括
非常相似的微生物组样本,被称为"双胞胎", 解决这些对对于微生物组研究中的准确机器学习和统计分析至关重要.
科学领域:
- 微生物组研究
- 计算生物学
- 生物信息学
背景情况:
- 微生物组样本的相似性可能会影响分析结果.
- 非常相似的样本通常被忽视在研究中.
- 这些对可以在机器学习和统计分析中引入偏差.
研究的目的:
- 研究双胞胎对微生物组数据分析的影响.
- 量化这些对导致的机器学习性能和统计测试偏差.
- 评估删除双胞胎对分析稳定性和生物解释性的影响.
主要方法:
- 分析了模拟和真实世界微生物组数据集 (16S,猎枪转基因组).
- 机器学习模型 (KNN,SVM,随机森林) 经过训练和评估,并没有双人对.
- 进行了统计关联测试和微生物网络分析.
- 删除对象对分类准确性,错误阳性率,效果大小稳定性和网络拓学的影响进行了评估.
主要成果:
- 即使是一小部分 (1-10%) 的双胞胎对也显著提高了机器学习性能 (15-30%的精度提升).
- 双人对导致统计试验偏差,增加错误阳性率并降低效果大小的稳定性.
- 移除双胞胎对可以减少28%的启动变异,并产生更稳定的微生物网络.
- 这些影响在不同数据类型和疾病群体 (CRC,IBD,CDI,肥胖症) 中一致.
结论:
- 双胞胎对是微生物组研究中分析噪音和错误发现的重要来源.
- 对高度相似的样本进行核算对于强大且具有生物学意义的微生物群洞察至关重要.
- 删除双胞胎对可以提高机器学习和微生物组研究中的统计分析的准确性和可靠性.
相关概念视频
01:29Modern Molecular Taxonomy
136
Advancements in molecular biology have revolutionized the identification and characterization of bacteria, with multiple methods leveraging DNA sequencing for enhanced precision. As sequencing technologies improve and costs decline, these approaches are increasingly used in clinical, environmental, and evolutionary studies.Multilocus Sequence Typing (MLST) examines several housekeeping genes, essential chromosomal genes encoding cellular functions, to distinguish strains. Approximately...
136
01:19MALDI-TOF Mass Spectrometry
5.2K
Mass spectrometry is a powerful characterization technique that can identify and separate a wide variety of compounds ranging from chemical to biological entities, based on their mass-to-charge ratio (m/z). The instruments that allow this detection, known as mass spectrometers, have three components: an ion source, a mass analyzer, and a detector. These spectrometers differ based on the nature of their ion source and analyzers.
Matrix-assisted laser desorption ionization (MALDI) is a commonly...
Matrix-assisted laser desorption ionization (MALDI) is a commonly...
5.2K
01:20Applications of Molecular Taxonomy
98
Molecular taxonomy has revolutionized the understanding and classification of bacteria, providing precise insights into their diversity, evolutionary relationships, and ecological roles. By utilizing molecular techniques such as DNA sequencing and fingerprinting, researchers have made significant strides in various fields related to bacterial studies.Resolving Taxonomic AmbiguitiesMolecular taxonomy has been instrumental in distinguishing closely related bacterial species initially thought to...
98