用遗传算法进行特征选择可以帮助提高微生物群信息在单胞胎双胞胎识别中的辨别能力
Guangping Fu1, Guanju Ma1, Shujie Dou1
1College of Forensic Medicine, Hebei Medical University, Hebei Key Laboratory of Forensic Medicine, Research Unit of Digestive Tract Microecosystem Pharmacology and Toxicology, Chinese Academy of Medical Sciences, Shijiazhuang, China.
Frontiers in microbiology
|August 9, 2023
概括
唾液中的微生物标记物现在可以区分单胞胎双胞胎 (MZT). 特性选择显著改善了识别模型,提供了一种新的法医遗传学解决方案.
科学领域:
- 法医遗传学 法医遗传学
- 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.
背景情况:
- 在法医遗传学中,区分单胞胎双胞胎 (MZT) 是一个重大的挑战.
- 微生物标记因其特异性和稳定性而显示出MZT识别的前景.
- 之前的模型受到包括低价值微生物物种的限制.
研究的目的:
- 开发和验证一种可靠的方法来识别MZT,使用唾液中的微生物数据.
- 调查特征选择对MZT识别模型性能的影响.
主要方法:
- 在四个时间点从10个MZT对收集了80个唾液样本.
- 使用16S rRNA V3-V4测序进行微生物群分析.
- 开发并优化了12个识别模型,使用AMPLICON序列变异 (ASV) 和各种距离指标,并通过遗传算法进行增强.
主要成果:
- 确定了369个操作分类单位 (OTU) 和1130个ASV.
- 在特征选择后,ASV-Jaccard距离模型在短时间间隔内展示了MZT对和自我样本之间的完全歧视.
- 贝叶斯理论被整合为提供证据有效性的数值指标.
结论:
- 微生物群分析,特别是优化特征选择,为法医遗传学中MZT识别提供了可行的解决方案.
- 该研究强调了特征选择在提高微生物识别模型性能方面的关键作用.
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