2022年5月22日 · 为解决这个问题，Shi等（2020）开发了一种称为校正主坐标分析（adjusted principal coordinates analysis，aPCoA）的方法，允许在PCoA中校正协变量以排除其影响 …

2020年4月27日 · In this work, we develop a novel visualization approach, adjusted principal coordinates analysis (aPCoA), which allows adjustment for covariates in creating the PCoA …

3 天之前 · We provide aPCoA to improve data visualization in this context, enabling enhanced presentation of the effects of interest. For more details, please check our paper aPCoA: …

aPCoA: Covariate Adjusted PCoA Plot. In fields such as ecology, microbiology, and genomics, non-Euclidean distances are widely applied to describe pairwise dissimilarity between …

2020年3月21日 · In fields such as ecology, microbiology, and genomics, non-Euclidean distances are widely applied to describe pairwise dissimilarity between samples. Given these pairwise …

2020年7月1日 · We provide adjusted principal coordinates analysis as an easy-to-use tool, available as both an R package and a Shiny app, to improve data visualization in this context, …

2020年4月27日 · aPCoA: covariate adjusted principal coordinates analysis. In fields, such as ecology, microbiology and genomics, non-Euclidean distances are widely applied to describe …

2021年12月13日 · aPCoA: Covariate Adjusted PCoA Plot In fields such as ecology, microbiology, and genomics, non-Euclidean distances are widely applied to describe pairwise dissimilarity …

2021年12月13日 · Adjusted confounding covariates to show the effect of the primary covariate in a PCoA plot. This method is designed for non-Euclidean distance. This function will plot the …

Given these pairwise distances, principal coordinates analysis (PCoA) is commonly used to construct a visualization of the data. However, confounding covariates can make patterns …