ArticleBioinformatics (Oxford, England)2020
aPCoA: covariate adjusted principal coordinates analysis.
Article in Bioinformatics (Oxford, England), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.
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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
42 citing papers in PubMed.
- Gut microbiome predicts personalized responses to dietary fiber in prediabetes: a randomized, open-label trial.Nature communications · 2025Trial
- Humanizing Zophobas morio larvae microbiota for rapid screening of emerging decolonization strategies against multidrug-resistant bacteria.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2026Article
- Association of gut microbiota and inflammatory markers with enteral nutrition intolerance in patients with early-stage moderate-to-severe intracerebral hemorrhage.Microbiology spectrum · 2026Article
- Associations between oral microbiome diversity and rheumatoid arthritis in U.S. adults: NHANES 2009-2012.Acta odontologica Scandinavica · 2026Article
- Gut microbiota and metabolite signatures predict severe immune-related adverse events in advanced hepatobiliary cancers.Journal of advanced research · 2026Article
- Multicohort Validation of Gut Microbiome Signatures for Cholangiocarcinoma Diagnosis and Functional Characterization of Bifidobacterium Pseudocatenulatum.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Dietary fiber fermentation restores microbiome resilience to oxygen stress in a host-independentmBio · 2026Article
- Multidimensional scaling informed by F-statistic: Visualizing grouped microbiome data with inference.PLoS computational biology · 2026Article
- Microplastic-associated gut microbial profile and antibiotic resistance in preschool children: a multicentre cross-sectional study in China.EBioMedicine · 2026Article
- Gut microbiota composition and functionality are associated with prolactin-secreting pituitary adenoma and serum lipid levels.BMC microbiology · 2026Article
- Microbial diversity, functional genomics and antibiotic resistance in integrated chicken and fish farming systems of Bangladesh.PloS one · 2026Article
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- Genomic insights into phenol degradation by halophilic bacteria and their potential application in saline soil remediation.Scientific reports · 2025Article
- Influence of the Origin, Feeding Status, andBiology · 2025Article
- Article
- Microbial diagnostic features identified across populations possess potential antitumor properties in breast cancer.mSystems · 2025Article
- Grape polyphenols reduce fasting glucose and increase hyocholic acid in healthy humans: a meta-omics study.NPJ science of food · 2025Article
- 16S rRNA sequencing reveals relationships among enrichment of oral microbiota in the lower respiratory tract and pulmonary nodules malignant progression.Microbiology spectrum · 2025Article
- Gut microbiome dynamics and functional shifts in healthy aging: insights from a metagenomic study.Frontiers in microbiology · 2025Article
- Exploring the associations of gut microbiota with inflammatory and the early hematoma expansion in intracerebral hemorrhage: from change to potential therapeutic objectives.Frontiers in cellular and infection microbiology · 2025Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
summaryIn fields, such as ecology, microbiology and genomics, non-Euclidean distances are widely applied to describe pairwise dissimilarity between samples. Given these pairwise distances, principal coordinates analysis is commonly used to construct a visualization of the data. However, confounding covariates can make patterns related to the scientific question of interest difficult to observe. 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, enabling enhanced presentation of the effects of interest. AVAILABILITY AND IMPLEMENTATION: The R package 'aPCoA' and Shiny app can be accessed at https://cran.r-project.org/web/packages/aPCoA/index.html and https://biostatistics.mdanderson.org/shinyapps/aPCoA/.
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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.