ArticleNAR genomics and bioinformatics2020
Variable selection in microbiome compositional data analysis.
Article in NAR genomics and bioinformatics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 3 of them syntheses that pooled it.
What it found
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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
38 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Functional Equivalence and Conserved Sexual Dimorphism in the Gut Microbiome: A Cross-Species Meta-analysis.Journal of molecular evolution · 2026Pooled it
- Melody: meta-analysis of microbiome association studies for discovering generalizable microbial signatures.Genome biology · 2025Pooled it
- Predicting cancer immunotherapy response from gut microbiomes using machine learning models.Oncotarget · 2022Pooled it
- Trial
- Interaction of Microplastics, Plants, and Rhizosphere: A Critical Review.Molecules (Basel, Switzerland) · 2026Review
- phylobar: an R package for multiresolution compositional barplots in omics studies.Bioinformatics (Oxford, England) · 2026Article
- A data-driven universal gut microbiome health assessment: a machine learning framework trained on large metagenomic data.Frontiers in microbiology · 2026Article
- TCVS: tree-guided compositional variable selection analysis of microbiome data.Bioinformatics (Oxford, England) · 2025Article
- Compositional data modeling of high-dimensional single cell RNA-seq (CoDA-hd): its advantages over commonly used normalization approaches.Journal of translational medicine · 2025Article
- Article
- CODARFE: Unlocking the prediction of continuous environmental variables based on microbiome.GigaScience · 2025Article
- Exploring the role of normalization and feature selection in microbiome disease classification pipelines.GigaScience · 2025Article
- Orthonormal pairwise logratio selection (OPALS) algorithm for compositional data analysis in high dimensions.Bioinformatics advances · 2025Article
- Is Short-Read 16S rRNA Sequencing of Oral Microbiome Sampling a Suitable Diagnostic Tool for Head and Neck Cancer?Pathogens (Basel, Switzerland) · 2024Article
- Article
- Microbiome compositional data analysis for survival studies.NAR genomics and bioinformatics · 2024Article
- A fast solution to the lasso problem with equality constraints.Journal of computational and graphical statistics : a joint publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America · 2024Article
- ASV vs OTUs clustering: Effects on alpha, beta, and gamma diversities in microbiome metabarcoding studies.PloS one · 2024Article
- Cotton microbiome profiling and Cotton Leaf Curl Disease (CLCuD) suppression through microbial consortia associated with Gossypium arboreum.NPJ biofilms and microbiomes · 2023Article
- Health-related quality of life is linked to the gut microbiome in kidney transplant recipients.Nature communications · 2023Review
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Though variable selection is one of the most relevant tasks in microbiome analysis, e.g. for the identification of microbial signatures, many studies still rely on methods that ignore the compositional nature of microbiome data. The applicability of compositional data analysis methods has been hampered by the availability of software and the difficulty in interpreting their results. This work is focused on three methods for variable selection that acknowledge the compositional structure of microbiome data:
Identifiers
What OpenQuestion holds
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.