ArticleFrontiers in microbiology2018
Predictive Modeling of Microbiome Data Using a Phylogeny-Regularized Generalized Linear Mixed Model.
Article in Frontiers in microbiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
27 citing papers in PubMed.
- DeepBiome: A Phylogenetic Tree Informed Deep Neural Network for Microbiome Data Analysis.Statistics in biosciences · 2025Article
- Article
- PhyloMix: enhancing microbiome-trait association prediction through phylogeny-mixing augmentation.Bioinformatics (Oxford, England) · 2025Article
- HighDimMixedModels.jl: Robust high-dimensional mixed-effects models across omics data.PLoS computational biology · 2025Article
- DeepPhylo: Phylogeny-Aware Microbial Embeddings Enhanced Predictive Accuracy in Human Microbiome Data Analysis.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024Article
- Microbiome time series data reveal predictable patterns of change.Microbiology spectrum · 2024Article
- Specialty grand challenge: how can we use integrative approaches to understand microbial community dynamics?Frontiers in systems biology · 2024Article
- MKMR: a multi-kernel machine regression model to predict health outcomes using human microbiome data.Briefings in bioinformatics · 2023Article
- Benchmarking differential abundance analysis methods for correlated microbiome sequencing data.Briefings in bioinformatics · 2023Article
- A comprehensive evaluation of microbial differential abundance analysis methods: current status and potential solutions.Microbiome · 2022Article
- Phylogeny-guided microbiome OTU-specific association test (POST).Microbiome · 2022Article
- LinDA: linear models for differential abundance analysis of microbiome compositional data.Genome biology · 2022Article
- Machine learning-assisted identification of bioindicators predicts medium-chain carboxylate production performance of an anaerobic mixed culture.Microbiome · 2022Article
- Bayesian compositional regression with structured priors for microbiome feature selection.Biometrics · 2021Article
- Tree-aggregated predictive modeling of microbiome data.Scientific reports · 2021Article
- Feature selection and causal analysis for microbiome studies in the presence of confounding using standardization.BMC bioinformatics · 2021Article
- mbImpute: an accurate and robust imputation method for microbiome data.Genome biology · 2021Article
- A novel deep learning method for predictive modeling of microbiome data.Briefings in bioinformatics · 2021Article
- A Bayesian Negative Binomial Hierarchical Model for Identifying Diet-Gut Microbiome Associations.Frontiers in microbiology · 2021Article
- RFtest: A Robust and Flexible Community-Level Test for Microbiome Data Powerfully Detects Phylogenetically Clustered Signals.Frontiers in genetics · 2021Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
Recent human microbiome studies have revealed an essential role of the human microbiome in health and disease, opening up the possibility of building microbiome-based predictive models for individualized medicine. One unique characteristic of microbiome data is the existence of a phylogenetic tree that relates all the microbial species. It has frequently been observed that a cluster or clusters of bacteria at varying phylogenetic depths are associated with some clinical or biological outcome due to shared biological function (
Indexed as
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.