Pages that link to "Item:Q2861942"
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The following pages link to Network-based penalized regression with application to genomic data (Q2861942):
Displaying 16 items.
- Support vector machines with disease-gene-centric network penalty for high dimensional microarray data (Q440098) (← links)
- DC programming and DCA: thirty years of developments (Q1749443) (← links)
- Robust network-based analysis of the associations between (epi)genetic measurements (Q1795573) (← links)
- Benchmarking penalized regression methods in machine learning for single cell RNA sequencing data (Q2163973) (← links)
- Bayesian network marker selection via the thresholded graph Laplacian Gaussian prior (Q2297232) (← links)
- High-dimensional generalized linear models incorporating graphical structure among predictors (Q2326055) (← links)
- GenePEN: analysis of network activity alterations in complex diseases via the pairwise elastic net (Q2344261) (← links)
- A penalized regression model for the joint estimation of eQTL associations and gene network structure (Q2415458) (← links)
- Graph-based sparse linear discriminant analysis for high-dimensional classification (Q2418517) (← links)
- Graph structured sparse subset selection (Q2662712) (← links)
- What subject matter questions motivate the use of machine learning approaches compared to statistical models for probability prediction? (Q2875749) (← links)
- Incorporating Predictor Network in Penalized Regression with Application to Microarray Data (Q3576923) (← links)
- Penalized logistic regression for detecting gene interactions (Q3634568) (← links)
- A general framework for penalized mixed-effects multitask learning with applications on DNA methylation surrogate biomarkers creation (Q6138641) (← links)
- Bi-level structured functional analysis for genome-wide association studies (Q6589279) (← links)
- Incorporating Graphical Structure of Predictors in Sparse Quantile Regression (Q6617798) (← links)
