NETWORK EXPLORATION VIA THE ADAPTIVE LASSO AND SCAD PENALTIES.
about
Cancer subtype discovery and biomarker identification via a new robust network clustering algorithmHarnessing the complexity of gene expression data from cancer: from single gene to structural pathway methodsGraphical Models for Ordinal DataMultivariate analysis of microarray data: differential expression and differential connection.A SPARSE CONDITIONAL GAUSSIAN GRAPHICAL MODEL FOR ANALYSIS OF GENETICAL GENOMICS DATA.Structural pursuit over multiple undirected graphs.Review of biological network data and its applications.Fast and Adaptive Sparse Precision Matrix Estimation in High DimensionsJoint estimation of multiple graphical modelsDINGO: differential network analysis in genomicsAdjusting for High-dimensional Covariates in Sparse Precision Matrix Estimation by ℓ1-Penalization.Learning Latent Variable Gaussian Graphical Model for Biomolecular Network with Low Sample Complexity.Inferring metabolic networks using the Bayesian adaptive graphical lasso with informative priors.Comparative study of computational methods for reconstructing genetic networks of cancer-related pathways.VARIABLE SELECTION FOR HIGH DIMENSIONAL MULTIVARIATE OUTCOMES.Non-convex Statistical Optimization for Sparse Tensor Graphical Model.The Sparse Laplacian Shrinkage Estimator for High-Dimensional Regression.Sparse multivariate factor analysis regression models and its applications to integrative genomics analysis.Statistical Significance of Clustering using Soft Thresholding.Joint Estimation of Multiple Precision Matrices with Common Structures.Penalized model-based clustering with unconstrained covariance matrices.Sparsistency and Rates of Convergence in Large Covariance Matrix Estimation.Model Selection and Estimation in the Matrix Normal Graphical Model.The cluster graphical lasso for improved estimation of Gaussian graphical models.Accelerated Path-following Iterative Shrinkage Thresholding Algorithm with Application to Semiparametric Graph Estimation.Partial correlation matrix estimation using ridge penalty followed by thresholding and re-estimationThe Bayesian Covariance Lasso.Estimating networks with jumps.Likelihood-based selection and sharp parameter estimationJoint Estimation of Multiple Dependent Gaussian Graphical Models with Applications to Mouse Genomics.A Gaussian graphical model approach to climate networks.Oracle estimation of parametric models under boundary constraints.Gene expression network reconstruction by LEP method using microarray data.Condition-adaptive fused graphical lasso (CFGL): An adaptive procedure for inferring condition-specific gene co-expression network
P2860
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P2860
NETWORK EXPLORATION VIA THE ADAPTIVE LASSO AND SCAD PENALTIES.
description
2009 nî lūn-bûn
@nan
2009年の論文
@ja
2009年論文
@yue
2009年論文
@zh-hant
2009年論文
@zh-hk
2009年論文
@zh-mo
2009年論文
@zh-tw
2009年论文
@wuu
2009年论文
@zh
2009年论文
@zh-cn
name
NETWORK EXPLORATION VIA THE ADAPTIVE LASSO AND SCAD PENALTIES.
@en
type
label
NETWORK EXPLORATION VIA THE ADAPTIVE LASSO AND SCAD PENALTIES.
@en
prefLabel
NETWORK EXPLORATION VIA THE ADAPTIVE LASSO AND SCAD PENALTIES.
@en
P2860
P1476
NETWORK EXPLORATION VIA THE ADAPTIVE LASSO AND SCAD PENALTIES
@en
P2093
Jianqing Fan
P2860
P304
P356
10.1214/08-AOAS215
10.1214/08-AOAS215SUPP
P50
P577
2009-06-01T00:00:00Z