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原文連結
論文資訊
- 類型：已發表論文
- 日期：2022-09-30
摘要
Motivation: Microbiome functional data are frequently analyzed to identify associations between microbial functions (e.g. genes) and sample groups of interest. However, it is challenging to distinguish between different possible explanations for variation in community-wide functional profiles by considering functions alone. To help address this problem, we have developed POMS, a package that implements multiple phylogeny-aware frameworks to more robustly identify enriched functions. Results: The key contribution is an extended balance-tree workflow that incorporates functional and taxonomic 資訊 to identify functions that are consistently enriched in sample groups across independent taxonomic lineages. Our package also includes a workflow for running 系統發育 regression. Based on simulated data
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