List of works - Shuangge Ma

Regularized gene selection in cancer microarray meta-analysis

scientific article

Combining multidimensional genomic measurements for predicting cancer prognosis: observations from TCGA.

scientific article

Supervised group Lasso with applications to microarray data analysis

scientific article

Regularized ROC method for disease classification and biomarker selection with microarray data

scientific article

A Selective Review of Group Selection in High-Dimensional Models

scientific article published on January 2012

The sparse Laplacian shrinkage estimator for high-dimensional regression

scientific article published on January 1, 2011

Variable selection in the accelerated failure time model via the bridge method

scientific article

Integrative analysis and variable selection with multiple high-dimensional data sets

scientific article

Identification of gene-environment interactions in cancer studies using penalization.

scientific article published on 29 August 2013

Clustering threshold gradient descent regularization: with applications to microarray studies.

scientific article published on 20 December 2006

Semiparametric Regression Pursuit.

scientific article

Integrative Analysis of Cancer Diagnosis Studies with Composite Penalization

scientific article published on March 2014

A penalized robust method for identifying gene-environment interactions

scientific article

Incorporating network structure in integrative analysis of cancer prognosis data.

scientific article

Regularized binormal ROC method in disease classification using microarray data.

scientific article

Integrative Analysis of "-Omics" Data Using Penalty Functions

scientific article

Deciphering the associations between gene expression and copy number alteration using a sparse double Laplacian shrinkage approach.

scientific article published on 03 September 2015

Incorporating group correlations in genome-wide association studies using smoothed group Lasso.

scientific article published on 17 September 2012

Integrative analysis of high-throughput cancer studies with contrasted penalization

scientific article

Similarity of markers identified from cancer gene expression studies: observations from GEO

scientific article

A semiparametric approach for the nonparametric transformation survival model with multiple covariates

scientific article published on 02 May 2006

Analyzing Association Mapping in Pedigree-Based GWAS Using a Penalized Multitrait Mixed Model.

scientific article published on June 2016

Integrative analysis of prognosis data on multiple cancer subtypes

scientific article

Sparse group penalized integrative analysis of multiple cancer prognosis datasets.

scientific article

Analysis of genome-wide association studies with multiple outcomes using penalization.

scientific article

Robust semiparametric microarray normalization and significance analysis

scientific article published on 01 June 2006

Identification of breast cancer prognosis markers via integrative analysis

scientific article published on September 1, 2012

List of works by Shuangge Ma

Regularized gene selection in cancer microarray meta-analysis

Combining multidimensional genomic measurements for predicting cancer prognosis: observations from TCGA.

Supervised group Lasso with applications to microarray data analysis

Regularized ROC method for disease classification and biomarker selection with microarray data

A Selective Review of Group Selection in High-Dimensional Models

The sparse Laplacian shrinkage estimator for high-dimensional regression

Variable selection in the accelerated failure time model via the bridge method

Integrative analysis and variable selection with multiple high-dimensional data sets

Identification of gene-environment interactions in cancer studies using penalization.

Clustering threshold gradient descent regularization: with applications to microarray studies.

Semiparametric Regression Pursuit.

Integrative Analysis of Cancer Diagnosis Studies with Composite Penalization

A penalized robust method for identifying gene-environment interactions

Incorporating network structure in integrative analysis of cancer prognosis data.

Regularized binormal ROC method in disease classification using microarray data.

Integrative Analysis of "-Omics" Data Using Penalty Functions

Deciphering the associations between gene expression and copy number alteration using a sparse double Laplacian shrinkage approach.

Incorporating group correlations in genome-wide association studies using smoothed group Lasso.

Integrative analysis of high-throughput cancer studies with contrasted penalization

Similarity of markers identified from cancer gene expression studies: observations from GEO

A semiparametric approach for the nonparametric transformation survival model with multiple covariates

Analyzing Association Mapping in Pedigree-Based GWAS Using a Penalized Multitrait Mixed Model.

Integrative analysis of prognosis data on multiple cancer subtypes

Sparse group penalized integrative analysis of multiple cancer prognosis datasets.

Analysis of genome-wide association studies with multiple outcomes using penalization.

Robust semiparametric microarray normalization and significance analysis

Identification of breast cancer prognosis markers via integrative analysis