Pages that link to "Item:Q5214468"
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The following pages link to Generalized linear models with linear constraints for microbiome compositional data (Q5214468):
Displaying 16 items.
- Log-Contrast Regression with Functional Compositional Predictors: Linking Preterm Infant's Gut Microbiome Trajectories to Neurobehavioral Outcome (Q138028) (← links)
- Regression analysis for microbiome compositional data (Q312961) (← links)
- Robust logistic zero-sum regression for microbiome compositional data (Q2089290) (← links)
- Primal path algorithm for compositional data analysis (Q2189589) (← links)
- Compositional mediation analysis for microbiome studies (Q2415486) (← links)
- Sliced Inverse Regression in Metric Spaces (Q5040480) (← links)
- Compositional knockoff filter for high‐dimensional regression analysis of microbiome data (Q6052220) (← links)
- Utilizing stability criteria in choosing feature selection methods yields reproducible results in microbiome data (Q6055642) (← links)
- A multiview model for relative and absolute microbial abundances (Q6055645) (← links)
- Globally Adaptive Longitudinal Quantile Regression With High Dimensional Compositional Covariates (Q6069869) (← links)
- Compositional Graphical Lasso Resolves the Impact of Parasitic Infection on Gut Microbial Interaction Networks in a Zebrafish Model (Q6077536) (← links)
- A review of compositional data analysis and recent advances (Q6115037) (← links)
- A Zero-Inflated Logistic Normal Multinomial Model for Extracting Microbial Compositions (Q6144752) (← links)
- Robust Signal Recovery for High-Dimensional Linear Log-Contrast Models with Compositional Covariates (Q6190704) (← links)
- Bayesian compositional generalized linear models for analyzing microbiome data (Q6560469) (← links)
- FDR control for linear log-contrast models with high-dimensional compositional covariates (Q6626696) (← links)
