Shuangge Ma

Orcid: 0000-0001-9001-4999

According to our database1, Shuangge Ma authored at least 75 papers between 2005 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Prediction Consistency Regularization for Learning with Noise Labels Based on Contrastive Clustering.
Entropy, April, 2024

Hierarchical false discovery rate control for high-dimensional survival analysis with interactions.
Comput. Stat. Data Anal., April, 2024

A penalized integrative deep neural network for variable selection among multiple omics datasets.
Quant. Biol., 2024

Estimation of multiple networks with common structures in heterogeneous subgroups.
J. Multivar. Anal., 2024

Heterogeneity-aware Clustered Distributed Learning for Multi-source Data Analysis.
J. Mach. Learn. Res., 2024

Penalized Generative Variable Selection.
CoRR, 2024

2023
FunctanSNP: an R package for functional analysis of dense SNP data (with interactions).
Bioinform., December, 2023

The Bayesian regularized quantile varying coefficient model.
Comput. Stat. Data Anal., November, 2023

Locally sparse quantile estimation for a partially functional interaction model.
Comput. Stat. Data Anal., October, 2023

Aligned deep neural network for integrative analysis with high-dimensional input.
J. Biomed. Informatics, August, 2023

Prior information-assisted integrative analysis of multiple datasets.
Bioinform., August, 2023

Editorial.
Briefings Bioinform., July, 2023

Hierarchy-assisted gene expression regulatory network analysis.
Stat. Anal. Data Min., June, 2023

2<sup>nd</sup> special issue on BIOSTATISTICS.
Comput. Stat. Data Anal., May, 2023

Unified model-free interaction screening via CV-entropy filter.
Comput. Stat. Data Anal., April, 2023

Spatio-temporally smoothed deep survival neural network.
J. Biomed. Informatics, January, 2023

A General Framework for Identifying Hierarchical Interactions and Its Application to Genomics Data.
J. Comput. Graph. Stat., 2023

2022
A tree-based gene-environment interaction analysis with rare features.
Stat. Anal. Data Min., 2022

Default risk prediction and feature extraction using a penalized deep neural network.
Stat. Comput., 2022

Subgroup analysis for high-dimensional functional regression.
J. Multivar. Anal., 2022

A generalized Wilcoxon-Mann-Whitney type test for multivariate data through pairwise distance.
J. Multivar. Anal., 2022

Biclustering analysis of functionals via penalized fusion.
J. Multivar. Anal., 2022

Comparative Analysis of Social Support in Online Health Communities Using a Word Co-Occurrence Network Analysis Approach.
Entropy, 2022

A Linguistic Analysis of News Coverage of E-Healthcare in China with a Heterogeneous Graphical Model.
Entropy, 2022

GEInfo: an R package for gene-environment interaction analysis incorporating prior information.
Bioinform., 2022

Network-based cancer heterogeneity analysis incorporating multi-view of prior information.
Bioinform., 2022

iSFun: an R package for integrative dimension reduction analysis.
Bioinform., 2022

Replicability in cancer omics data analysis: measures and empirical explorations.
Briefings Bioinform., 2022

Analysis of cancer omics data: a selective review of statistical techniques.
Briefings Bioinform., 2022

2021
An association test for functional data based on Kendall's Tau.
J. Multivar. Anal., 2021

Promote sign consistency in the joint estimation of precision matrices.
Comput. Stat. Data Anal., 2021

Marginal false discovery rate for a penalized transformation survival model.
Comput. Stat. Data Anal., 2021

Conditional score matching for high-dimensional partial graphical models.
Comput. Stat. Data Anal., 2021

GEInter: an R package for robust gene-environment interaction analysis.
Bioinform., 2021

HeteroGGM: an R package for Gaussian graphical model-based heterogeneity analysis.
Bioinform., 2021

Vertical integration methods for gene expression data analysis.
Briefings Bioinform., 2021

2020
Evaluation of Survival Outcomes of Endovascular Versus Open Aortic Repair for Abdominal Aortic Aneurysms with a Big Data Approach.
Entropy, 2020

Structured analysis of the high-dimensional FMR model.
Comput. Stat. Data Anal., 2020

NCutYX: a package for clustering analysis of multilayer omics data.
Bioinform., 2020

2019
A modified mean-variance feature-screening procedure for ultrahigh-dimensional discriminant analysis.
Comput. Stat. Data Anal., 2019

Robust genetic interaction analysis.
Briefings Bioinform., 2019

2018
Robust network-based analysis of the associations between (epi)genetic measurements.
J. Multivar. Anal., 2018

Integrative sparse principal component analysis.
J. Multivar. Anal., 2018

A Forward and Backward Stagewise algorithm for nonconvex loss functions with adaptive Lasso.
Comput. Stat. Data Anal., 2018

2017
Accounting for clinical covariates and interactions in ranking genomic markers using ROC.
Commun. Stat. Simul. Comput., 2017

2016
Lasso Regression Based on Empirical Mode Decomposition.
Commun. Stat. Simul. Comput., 2016

Grouped Variable Selection Using Area under the ROC with Imbalanced Data.
Commun. Stat. Simul. Comput., 2016

Identification of proportionality structure with two-part models using penalization.
Comput. Stat. Data Anal., 2016

EPS: an empirical Bayes approach to integrating pleiotropy and tissue-specific information for prioritizing risk genes.
Bioinform., 2016

Group-combined <i>P</i>-values with applications to genetic association studies.
Bioinform., 2016

2015
Deciphering the associations between gene expression and copy number alteration using a sparse double Laplacian shrinkage approach.
Bioinform., 2015

Combining multidimensional genomic measurements for predicting cancer prognosis: observations from TCGA.
Briefings Bioinform., 2015

A selective review of robust variable selection with applications in bioinformatics.
Briefings Bioinform., 2015

Measures for the degree of overlap of gene signatures and applications to TCGA.
Briefings Bioinform., 2015

2014
Similarity of markers identified from cancer gene expression studies: observations from GEO.
Briefings Bioinform., 2014

2012
Identification of breast cancer prognosis markers via integrative analysis.
Comput. Stat. Data Anal., 2012

Integrative prescreening in analysis of multiple cancer genomic studies.
BMC Bioinform., 2012

Adjusting confounders in ranking biomarkers: a model-based ROC approach.
Briefings Bioinform., 2012

2011
Fuzzy Canonical Discriminant Analysis: Theory and Practice.
Commun. Stat. Simul. Comput., 2011

Ranking prognosis markers in cancer genomic studies.
Briefings Bioinform., 2011

Principal component analysis based methods in bioinformatics studies.
Briefings Bioinform., 2011

2010
Incorporating gene co-expression network in identification of cancer prognosis markers.
BMC Bioinform., 2010

Detection of gene pathways with predictive power for breast cancer prognosis.
BMC Bioinform., 2010

Identification of non-Hodgkin's lymphoma prognosis signatures using the CTGDR method.
Bioinform., 2010

Semiparametric prognosis models in genomic studies.
Briefings Bioinform., 2010

2009
Regularized gene selection in cancer microarray meta-analysis.
BMC Bioinform., 2009

Identification of differential gene pathways with principal component analysis.
Bioinform., 2009

Enriching PubMed Related Article Search with Sentence Level Co-citations.
Proceedings of the AMIA 2009, 2009

2008
Penalized feature selection and classification in bioinformatics.
Briefings Bioinform., 2008

2007
Supervised group Lasso with applications to microarray data analysis.
BMC Bioinform., 2007

Additive risk survival model with microarray data.
BMC Bioinform., 2007

Clustering threshold gradient descent regularization: with applications to microarray studies.
Bioinform., 2007

2006
Regularized binormal ROC method in disease classificationusing microarray data.
BMC Bioinform., 2006

Empirical study of supervised gene screening.
BMC Bioinform., 2006

2005
Regularized ROC method for disease classification and biomarker selection with microarray data.
Bioinform., 2005


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