Pages that link to "Item:Q3304982"
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The following pages link to Variable selection and dependency networks for genomewide data (Q3304982):
Displaying 17 items.
- Exploring dependence between categorical variables: benefits and limitations of using variable selection within Bayesian clustering in relation to log-linear modelling with interaction terms (Q254920) (← links)
- Accelerating a Gibbs sampler for variable selection on genomics data with summarization and variable pre-selection combining an array DBMS and R (Q506436) (← links)
- Learning relational dependency networks in hybrid domains (Q747248) (← links)
- Poisson dependency networks: gradient boosted models for multivariate count data (Q747270) (← links)
- A fast splitting method tailored for Dantzig selector (Q887167) (← links)
- Comparison between the SSVS and the LASSO for genome wide association studies (Q966195) (← links)
- Peaceman-Rachford splitting for a class of nonconvex optimization problems (Q1687318) (← links)
- An alternating direction method for finding Dantzig selectors (Q1927184) (← links)
- A partially proximal linearized alternating minimization method for finding Dantzig selectors (Q1983897) (← links)
- Bayesian network marker selection via the thresholded graph Laplacian Gaussian prior (Q2297232) (← links)
- Modeling association in microbial communities with clique loglinear models (Q2318667) (← links)
- Multiple loci mapping via model-free variable selection (Q2893976) (← links)
- (Q3437332) (← links)
- Efficient Sparse Hessian-Based Semismooth Newton Algorithms for Dantzig Selector (Q5021412) (← links)
- Joint Bayesian Variable and DAG Selection Consistency for High-dimensional Regression Models with Network-structured Covariates (Q5155198) (← links)
- Markov Neighborhood Regression for High-Dimensional Inference (Q5881128) (← links)
- Development of network-guided transcriptomic risk score for disease prediction (Q6548919) (← links)
