Pages that link to "Item:Q6076494"
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The following pages link to Bayesian compositional regression with structured priors for microbiome feature selection (Q6076494):
Displaying 13 items.
- Variable selection in regression with compositional covariates (Q138024) (← links)
- 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)
- Subject-specific Dirichlet-multinomial regression for multi-district microbiota data analysis (Q2686051) (← links)
- Variable Selection in High-Dimensional Multivariate Binary Data with Application to the Analysis of Microbial Community DNA Fingerprints (Q3078956) (← links)
- Generalized linear models with linear constraints for microbiome compositional data (Q5214468) (← links)
- Compositional knockoff filter for high‐dimensional regression analysis of microbiome data (Q6052220) (← links)
- A semiparametric model for between‐subject attributes: Applications to beta‐diversity of microbiome data (Q6055623) (← links)
- Utilizing stability criteria in choosing feature selection methods yields reproducible results in microbiome data (Q6055642) (← 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)
- Development of network-guided transcriptomic risk score for disease prediction (Q6548919) (← links)
- Bayesian compositional generalized linear models for analyzing microbiome data (Q6560469) (← links)
