Pages that link to "Item:Q652363"
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The following pages link to Incorporating biological information into linear models: a Bayesian approach to the selection of pathways and genes (Q652363):
Displaying 35 items.
- Bayesian variable selection and estimation for group Lasso (Q273646) (← links)
- A Bayesian nonparametric mixture model for selecting genes and gene subnetworks (Q400643) (← links)
- Corridendum: ``Biological pathway selection through Bayesian integrative modeling'' (Q482828) (← links)
- Selecting massive variables using an iterated conditional modes/medians algorithm (Q491389) (← links)
- Incorporating biological information into linear models: a Bayesian approach to the selection of pathways and genes (Q652363) (← links)
- Spatial Bayesian variable selection and grouping for high-dimensional scalar-on-image regression (Q746657) (← links)
- Incorporating grouping information in Bayesian variable selection with applications in genomics (Q899018) (← links)
- The Gibbs-plaid biclustering model (Q902938) (← links)
- Bayesian group selection with non-local priors (Q2135854) (← links)
- Bayesian graphical models for modern biological applications (Q2152185) (← links)
- Bayesian indicator variable selection to incorporate hierarchical overlapping group structure in multi-omics applications (Q2291545) (← links)
- Bayesian network marker selection via the thresholded graph Laplacian Gaussian prior (Q2297232) (← links)
- Bayesian semiparametric model for pathway-based analysis with zero-inflated clinical outcomes (Q2363720) (← links)
- A graph Laplacian prior for Bayesian variable selection and grouping (Q2416741) (← links)
- Bayesian variable selection and data integration for biological regulatory networks (Q2466481) (← links)
- Subject-specific Dirichlet-multinomial regression for multi-district microbiota data analysis (Q2686051) (← links)
- Bayesian Approaches for Large Biological Networks (Q2800194) (← links)
- An Integrative Bayesian Modeling Approach to Imaging Genetics (Q2861801) (← links)
- miRNA–target gene regulatory networks: A Bayesian integrative approach to biomarker selection with application to kidney cancer (Q3459940) (← links)
- Learning from a lot: Empirical Bayes for high‐dimensional model‐based prediction (Q4629271) (← links)
- A Bayesian Approach for Estimating Dynamic Functional Network Connectivity in fMRI Data (Q4690935) (← links)
- A Bayesian extension of the hypergeometric test for functional enrichment analysis (Q4979230) (← links)
- Joint Bayesian Variable and DAG Selection Consistency for High-dimensional Regression Models with Network-structured Covariates (Q5155198) (← links)
- A Bayesian integrative approach for multi‐platform genomic data: A kidney cancer case study (Q5283319) (← links)
- Multivariate Bayesian variable selection exploiting dependence structure among outcomes: Application to air pollution effects on DNA methylation (Q5347423) (← links)
- Two-Level Bayesian Interaction Analysis for Survival Data Incorporating Pathway Information (Q6055748) (← links)
- Bayesian Interaction Selection Model for Multimodal Neuroimaging Data Analysis (Q6079752) (← links)
- A Bayesian group selection with compositional responses for analysis of radiologic tumor proportions and their genomic determinants (Q6138618) (← links)
- Bayesian pathway selection (Q6176243) (← links)
- Bayesian regularization for a nonstationary Gaussian linear mixed effects model (Q6622277) (← links)
- Feature selection and classification over the network with missing node observations (Q6626779) (← links)
- A Bayesian hierarchical variable selection prior for pathway-based GWAS using summary statistics (Q6627488) (← links)
- Gene-gene interaction analysis incorporating network information via a structured Bayesian approach (Q6628203) (← links)
- Bayesian hierarchical models for high-dimensional mediation analysis with coordinated selection of correlated mediators (Q6628307) (← links)
- Bayesian variable selection methods for matched case-control studies (Q6636131) (← links)
