ArticleGenome biology2025
GIMIC: smoothed graph-image representation of microbiome samples induce an optimal distance.
Article in Genome biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
1 citing paper in PubMed.
- Early pregnancy is characterized by a significant decrease in the diversity of the oral microbiome and strong associations with lifestyle and conception method.Journal of oral microbiology · 2026Article
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Authors and funding
2 authors.
Funding
Abstract
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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.