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Updated: May 9, 2025

Author Spotlight: Integrated Multi-Omics Analysis for Unveiling Multicellular Immune Signatures in Clinical Heart Attack Cohorts
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微生物组多组数据的预测建模框架:潜伏交互变量效应 (LIVE) 建模

Javier Munoz Briones1,2, Douglas K Brubaker3,4,5

  • 1Weldon School of Biomedical Engineering, Purdue University, West Lafayette, IN, USA.

BMC bioinformatics
|April 29, 2025
PubMed
概括

隐性交互变量效应 (LIVE) 建模整合了多omics数据,以确定与疾病相关的关键微生物和代谢特征. 这种计算框架有助于解释复杂的宿主微生物群相互作用,以更好地预测和理解疾病.

关键词:
在 GLM 里面.IBD IBD IBD IBD IBD IBD IBD IBD IBD IBD IBD IBD IBD IBD IBD IBD潜在的变量是潜在的变量.微生物组是一个微生物组.多种组合的多种组合.sPLS-DA 的时间.

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