Integrative analysis of `-omics' data using penalty functions

Cites Work

Unnamed Item
Coordinate descent algorithms for nonconvex penalized regression, with applications to biological feature selection
Penalized methods for bi-level variable selection
Nearly unbiased variable selection under minimax concave penalty
Valid post-selection inference
A coordinate gradient descent method for nonsmooth separable minimization
The composite absolute penalties family for grouped and hierarchical variable selection
Identification of breast cancer prognosis markers via integrative analysis
Sparse integrative clustering of multiple omics data sets
The smooth-Lasso and other \(\ell _{1}+\ell _{2}\)-penalized methods
Pathwise coordinate optimization
On the ``degrees of freedom of the lasso
Coordinate descent algorithms for lasso penalized regression
Shrinkage Tuning Parameter Selection with a Diverging number of Parameters
SparseNet: Coordinate Descent With Nonconvex Penalties
Integrative analysis and variable selection with multiple high-dimensional data sets
Extended Bayesian information criteria for model selection with large model spaces
A group bridge approach for variable selection
Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties
Stability Selection
Dimension Reduction and Coefficient Estimation in Multivariate Linear Regression
Integrative Analysis of Cancer Diagnosis Studies with Composite Penalization
Model Selection and Estimation in Regression with Grouped Variables
Tuning parameter selectors for the smoothly clipped absolute deviation method
A General Framework for Weighted Gene Co-Expression Network Analysis
Confidence Intervals for Low Dimensional Parameters in High Dimensional Linear Models
Convergence of a block coordinate descent method for nondifferentiable minimization
A selective review of group selection in high-dimensional models