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多媒体:微生物组数据的多模式调解分析
Hanying Jiang1, Xinran Miao1, Margaret W Thairu2
1Statistics Department, UW-Madison, Madison, WI, USA.
bioRxiv : the preprint server for biology
|April 8, 2024
概括
本研究介绍了在微生物组研究中可访问的调解分析的多媒体R包. 它揭示了微生物组,代谢物和IBD等疾病之间的复杂相互作用,以及正念对肠道细菌的影响.
科学领域:
- 微生物组研究的研究.
- 统计建模 统计建模
- 因果推理的原因推理.
背景情况:
- 调解分析对于理解微生物组研究中的因果关系途径至关重要.
- 现有的软件往往具有严格的假设,限制了可解释性.
- 需要易于使用和适应的调解分析工具.
研究的目的:
- 开发一个R包 (多媒体),用于微生物组研究中的高级,可解释的调解分析.
- 为各种统计建模技术提供一个用户友好的界面.
- 为了促进在生物数据中探索机械学的问题.
主要方法:
- 多媒体R包提供了一个统一的界面,用于效应估计,假设测试和灵敏度分析.
- 它支持多样化的建模方法,包括规范的线性,组成,随机森林,层次和障碍模型.
- 该包使用两个涉及炎症性肠病和正念练习的案例研究来说明.
主要成果:
- 该包揭示了在炎症性肠病患者中微生物组和代谢物之间的潜在机械相互作用.
- 调解分析显示,正念练习会影响与抑郁症相关的微生物种群,而不依赖于饮食或睡眠.
- 多媒体包展示了在不同的微生物组相关研究问题上的灵活性和实用性.
结论:
- 多媒体R包使微生物组研究的先进调解分析民主化.
- 它可以更深入地了解宿主微生物相互作用的机制,以及干预措施的影响.
- 该工具支持适应性模型策略,适合复杂的生物数据集.
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