A Selective Review of Group Selection in High-Dimensional Models.
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The Iterative Reweighted Mixed-Norm Estimate for Spatio-Temporal MEG/EEG Source Reconstruction.A deep learning framework for improving long-range residue-residue contact prediction using a hierarchical strategy.Integrative Analysis of "-Omics" Data Using Penalty Functions.Variable selection in strong hierarchical semiparametric models for longitudinal data.A new method for robust mixture regression.Sparse group penalized integrative analysis of multiple cancer prognosis datasets.Blood lead levels and associated factors among children in Guiyu of China: a population-based studyIntegrative analysis of multiple diverse omics datasets by sparse group multitask regression.Similarity of markers identified from cancer gene expression studies: observations from GEOPlacental genome and maternal-placental genetic interactions: a genome-wide and candidate gene association study of placental abruptionRegularized group regression methods for genomic prediction: Bridge, MCP, SCAD, group bridge, group lasso, sparse group lasso, group MCP and group SCAD.Concave 1-norm group selection.Common Marker Genes Identified from Various Sample Types for Systemic Lupus Erythematosus.A note on rank reduction in sparse multivariate regression.Canonical variate regression.Predicting the helix-helix interactions from correlated residue mutations.Accommodating missingness in environmental measurements in gene-environment interaction analysis.Stagewise generalized estimating equations with grouped variables.Penalized variable selection in competing risks regression.Integrative analysis for identification of shared markers from various functional cells/tissues for rheumatoid arthritis.The group exponential lasso for bi-level variable selection.Group descent algorithms for nonconvex penalized linear and logistic regression models with grouped predictors.Integrative Analysis of Cancer Diagnosis Studies with Composite PenalizationBayesian Group Bridge for Bi-level Variable Selection.Genome-wide prediction of DNase I hypersensitivity using gene expression.Prediction of cancer drug sensitivity using high-dimensional omic features.Group Spike-and-Slab Lasso Generalized Linear Models for Disease Prediction and Associated Genes Detection by Incorporating Pathway Information.Multivariable modeling of factors associated with spinal pain in young adolescence.A two-stage approach of gene network analysis for high-dimensional heterogeneous data.Bayesian sparse reduced rank multivariate regression.Application of a new dietary pattern analysis method in nutritional epidemiology
P2860
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P2860
A Selective Review of Group Selection in High-Dimensional Models.
description
article científic
@ca
article scientifique
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articol științific
@ro
articolo scientifico
@it
artigo científico
@gl
artigo científico
@pt
artigo científico
@pt-br
artikel ilmiah
@id
artikull shkencor
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artículo científico
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name
A Selective Review of Group Selection in High-Dimensional Models.
@en
type
label
A Selective Review of Group Selection in High-Dimensional Models.
@en
prefLabel
A Selective Review of Group Selection in High-Dimensional Models.
@en
P2860
P356
P1433
P1476
A Selective Review of Group Selection in High-Dimensional Models.
@en
P2093
Shuangge Ma
P2860
P356
10.1214/12-STS392
P407
P577
2012-01-01T00:00:00Z