Pages that link to "Item:Q5408029"
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The following pages link to A Logistic Normal Multinomial Regression Model for Microbiome Compositional Data Analysis (Q5408029):
Displaying 41 items.
- Flexible non-parametric regression models for compositional data (Q69799) (← links)
- Modeling microbial abundances and dysbiosis with beta-binomial regression (Q86089) (← links)
- Logistic Normal Multinomial Factor Analyzers for Clustering Microbiome Data (Q101518) (← links)
- Variable selection in regression with compositional covariates (Q138024) (← links)
- Log-Contrast Regression with Functional Compositional Predictors: Linking Preterm Infant's Gut Microbiome Trajectories to Neurobehavioral Outcome (Q138028) (← links)
- Rare Feature Selection in High Dimensions (Q149281) (← links)
- Regression analysis for microbiome compositional data (Q312961) (← links)
- A review on probabilistic models used in microbiome studies (Q1627559) (← links)
- Partial linear regression of compositional data (Q2111955) (← links)
- Bayesian mixed effects models for zero-inflated compositions in microbiome data analysis (Q2179984) (← links)
- Bayesian sparse multivariate regression with asymmetric nonlocal priors for microbiome data analysis (Q2226696) (← links)
- A baseline category logit model for assessing competing strains of \textit{Rhizobium} bacteria (Q2261017) (← links)
- Modeling association in microbial communities with clique loglinear models (Q2318667) (← links)
- Splitting models for multivariate count data (Q2657191) (← links)
- A GLM-based latent variable ordination method for microbiome samples (Q3119859) (← links)
- A model for paired‐multinomial data and its application to analysis of data on a taxonomic tree (Q4556711) (← links)
- Scalable estimation and regularization for the logistic normal multinomial model (Q5121020) (← links)
- MIMIX: A Bayesian Mixed-Effects Model for Microbiome Data From Designed Experiments (Q5130600) (← links)
- Bayesian Graphical Compositional Regression for Microbiome Data (Q5130601) (← 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)
- Joint modeling of zero‐inflated longitudinal proportions and time‐to‐event data with application to a gut microbiome study (Q6055724) (← links)
- Globally Adaptive Longitudinal Quantile Regression With High Dimensional Compositional Covariates (Q6069869) (← links)
- Bayesian compositional regression with structured priors for microbiome feature selection (Q6076494) (← 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 Dirichlet-Tree Multinomial Regression Model for Associating Dietary Nutrients with Gut Microorganisms (Q6079974) (← links)
- A folded model for compositional data analysis (Q6080820) (← links)
- Zero‐inflated Poisson factor model with application to microbiome read counts (Q6094195) (← links)
- Identification of microbial features in multivariate regression under false discovery rate control (Q6113732) (← links)
- LRBmat: a novel gut microbial interaction and individual heterogeneity inference method for colorectal cancer (Q6136943) (← links)
- Bayesian modeling of interaction between features in sparse multivariate count data with application to microbiome study (Q6138478) (← links)
- A Zero-Inflated Logistic Normal Multinomial Model for Extracting Microbial Compositions (Q6144752) (← links)
- Power transformations of relative count data as a shrinkage problem (Q6170233) (← links)
- A zero-inflated beta-binomial model for microbiome data analysis (Q6541458) (← links)
- A mixture of logistics skew-normal multinomial models (Q6573298) (← links)
- The mixed model for the analysis of a repeated-measurement multivariate count data (Q6625647) (← links)
- Bayesian variable selection for high-dimensional rank data (Q6626408) (← links)
- Bayesian hierarchical models for high-dimensional mediation analysis with coordinated selection of correlated mediators (Q6628307) (← links)
- Factor Augmented Inverse Regression and its Application to Microbiome Data Analysis (Q6631696) (← links)
