Pages that link to "Item:Q1654247"

The following pages link to Variable selection for high-dimensional genomic data with censored outcomes using group Lasso prior (Q1654247):

Displaying 8 items.

• psbcGroup (Q35768) (← links)
• Incorporating grouping information in Bayesian variable selection with applications in genomics (Q899018) (← links)
• Integration of multiple genomic data sources in a Bayesian Cox model for variable selection and prediction (Q1664505) (← links)
• Bayesian penalized Buckley-James method for high dimensional bivariate censored regression models (Q2134161) (← links)
• Bi-level feature selection in high dimensional AFT models with applications to a genomic study (Q2195271) (← links)
• Integrative sparse \(K\)-means with overlapping group Lasso in genomic applications for disease subtype discovery (Q2404456) (← links)
• High-Dimensional Variable Selection in Meta-Analysis for Censored Data (Q3013980) (← links)
• Identification of survival relevant genes with measurement error in gene expression incorporated (Q6115012) (← links)