Pages that link to "Item:Q2179984"
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The following pages link to Bayesian mixed effects models for zero-inflated compositions in microbiome data analysis (Q2179984):
Displaying 13 items.
- Bayesian multivariate sparse functional principal components analysis with application to longitudinal microbiome multiomics data (Q2080741) (← links)
- A hierarchical Bayesian approach for detecting global microbiome associations (Q2170539) (← links)
- Bayesian mixed effects models for zero-inflated compositions in microbiome data analysis (Q2179984) (← links)
- A Bayesian framework for identifying consistent patterns of microbial abundance between body sites (Q2195285) (← links)
- Bayesian sparse multivariate regression with asymmetric nonlocal priors for microbiome data analysis (Q2226696) (← links)
- Compositional mediation analysis for microbiome studies (Q2415486) (← links)
- Subject-specific Dirichlet-multinomial regression for multi-district microbiota data analysis (Q2686051) (← links)
- Generalized linear models with linear constraints for microbiome compositional data (Q5214468) (← 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 Flexible Zero-Inflated Poisson-Gamma Model with Application to Microbiome Sequence Count Data (Q6109964) (← links)
- A Zero-Inflated Logistic Normal Multinomial Model for Extracting Microbial Compositions (Q6144752) (← links)
- A Bayesian zero-inflated Dirichlet-multinomial regression model for multivariate compositional count data (Q6589269) (← links)
