Scholarlink

<p>An essential tool in microbiome is the distance between samples. This serves to detect groups of similar samples. We have recently shown that combining the cladogram with the abundance of each microbe into a sorted normalized abundance tree can improve the accuracy of machine learning and differential analysis. We show that smoothing these tree-based images to produce GIMIC (Smoothed Graph IMages of the MICrobiome) leads to an interpretable visualization of microbiome sets and that the difference between the smoothed tree-based images is a better metric than the current state-of-the-art in a wide array of tasks.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

GIMIC: smoothed graph-image representation of microbiome samples induce an optimal distance

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年10月9日

查看全文
  • Oshrit Shtossel,
  • Yoram Louzoun

摘要

An essential tool in microbiome is the distance between samples. This serves to detect groups of similar samples. We have recently shown that combining the cladogram with the abundance of each microbe into a sorted normalized abundance tree can improve the accuracy of machine learning and differential analysis. We show that smoothing these tree-based images to produce GIMIC (Smoothed Graph IMages of the MICrobiome) leads to an interpretable visualization of microbiome sets and that the difference between the smoothed tree-based images is a better metric than the current state-of-the-art in a wide array of tasks.