Pages that link to "Item:Q312923"
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The following pages link to A Bayesian graphical model for genome-wide association studies (GWAS) (Q312923):
Displaying 13 items.
- genMOSS (Q28910) (← links)
- A sparse conditional Gaussian graphical model for analysis of genetical genomics data (Q80801) (← links)
- Bayesian pedigree inference with small numbers of single nucleotide polymorphisms via a factor-graph representation (Q304447) (← links)
- An integrated hierarchical Bayesian model for multivariate eQTL mapping (Q461634) (← links)
- Bayesian large-scale multiple regression with summary statistics from genome-wide association studies (Q1684236) (← links)
- A Bayesian approach to identify genes and gene-level SNP aggregates in a genetic analysis of cancer data (Q1747441) (← links)
- Bayesian inference of clustering and multiple Gaussian graphical models selection (Q2151591) (← links)
- Application of whole-genome prediction methods for genome-wide association studies: a Bayesian approach (Q2363982) (← links)
- Learning Hierarchical Bayesian Networks for Genome-Wide Association Studies (Q3298514) (← links)
- A two‐phase Bayesian methodology for the analysis of binary phenotypes in genome‐wide association studies (Q5120931) (← links)
- Graphical chain models for the analysis of complex genetic diseases: an application to hypertension (Q5313610) (← links)
- Joint estimation of multiple dependent Gaussian graphical models with applications to mouse genomics (Q5384408) (← links)
- Bayesian Genome- and Epigenome-Wide Association Studies with Gene Level Dependence (Q6056316) (← links)
