Using latent growth modelling approach for integration and inference from multiple longitudinal microbiome datasets.

使用潜在生长建模方法对多个纵向微生物组数据集进行整合和推断。

• 批准号: 475717
• 负责人: Teterina Anastasia
• 金额: $ 7.65万
• 依托单位: University of Toronto
• 依托单位国家: 加拿大
• 项目类别: Studentship Programs
• 财政年份: 2022
• 资助国家: 加拿大
• 起止时间: 2022-11-01 至 2025-11-01
• 项目状态: 未结题
• 来源: https://webapps.cihr-irsc.gc.ca/decisions/p/project_details.html?applId=475717&lang=en
• 关键词: Latent Growth Models; Longitudinal Data Analysis; Microbiome; Omics Data Integration; Structural Equation Modelling

Scientists have learned that whether a child develops asthma or not depends on bacteria that live in different parts of a child's body. So we need to learn if and how these bacteria change as a child grows, and what kind of bacteria and at what age of a c

科学家们了解到，孩子是否患有哮喘取决于孩子身体不同部位的细菌。因此，我们需要了解这些细菌在儿童成长过程中是否会发生变化以及如何变化，以及细菌的种类以及在什么年龄发生变化。