Pages that link to "Item:Q5130601"
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The following pages link to Bayesian Graphical Compositional Regression for Microbiome Data (Q5130601):
Displaying 13 items.
- Statistical models and computational algorithms for discovering relationships in microbiome data (Q523934) (← links)
- A Bayesian model of microbiome data for simultaneous identification of covariate associations and prediction of phenotypic outcomes (Q2044272) (← links)
- Bayesian multivariate sparse functional principal components analysis with application to longitudinal microbiome multiomics data (Q2080741) (← links)
- Dirichlet-tree multinomial mixtures for clustering microbiome compositions (Q2170402) (← links)
- A hierarchical Bayesian approach for detecting global microbiome associations (Q2170539) (← links)
- A Bayesian framework for identifying consistent patterns of microbial abundance between body sites (Q2195285) (← links)
- Compositional mediation analysis for microbiome studies (Q2415486) (← links)
- Generalized linear models with linear constraints for microbiome compositional data (Q5214468) (← links)
- Robust Shape Matrix Estimation for High-Dimensional Compositional Data with Application to Microbial Inter-Taxa Analysis (Q6069886) (← links)
- Compositional Graphical Lasso Resolves the Impact of Parasitic Infection on Gut Microbial Interaction Networks in a Zebrafish Model (Q6077536) (← links)
- Microbiome Subcommunity Learning with Logistic-Tree Normal Latent Dirichlet Allocation (Q6079716) (← links)
- A Common Atoms Model for the Bayesian Nonparametric Analysis of Nested Data (Q6107217) (← links)
- Bayesian modeling of interaction between features in sparse multivariate count data with application to microbiome study (Q6138478) (← links)