Identification of breast cancer prognosis markers via integrative analysis

DOI10.1016/j.csda.2012.02.017zbMath1255.62327OpenAlexW2054665437WikidataQ36076435 ScholiaQ36076435MaRDI QIDQ1927047

Shuangge Ma, Jian Huang, Ying Dai, Yang Xie

Publication date: 30 December 2012

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: http://europepmc.org/articles/pmc3389801

zbMATH Keywords

gene expressionintegrative analysis2-norm group bridgemarker identification

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Medical applications (general) (92C50)

Related Items

The Jackknife estimate of covariance of two Kaplan–Meier integrals with covariables

Cites Work

• Consistent group selection in high-dimensional linear regression
• Variable selection in the accelerated failure time model via the bridge method
• The sparsity and bias of the LASSO selection in high-dimensional linear regression
• Consistent estimation under random censorship when covariables are present
• A large sample study of rank estimation for censored regression data
• Asymptotic properties of bridge estimators in sparse high-dimensional regression models
• Integrative analysis and variable selection with multiple high-dimensional data sets
• Regularized Estimation in the Accelerated Failure Time Model with High-Dimensional Covariates
• The Group Lasso for Logistic Regression
• A group bridge approach for variable selection
• Linear regression with censored data