Shuangge Ma

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

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Prediction Consistency Regularization for Learning with Noise Labels Based on Contrastive Clustering.

Xinkai Sun, Sanguo Zhang, Shuangge Ma

Entropy, April, 2024

Hierarchical false discovery rate control for high-dimensional survival analysis with interactions.

Weijuan Liang, Qingzhao Zhang, Shuangge Ma

Comput. Stat. Data Anal., April, 2024

A penalized integrative deep neural network for variable selection among multiple omics datasets.

Yang Li, Xiaonan Ren, Haochen Yu, Tao Sun, Shuangge Ma

Quant. Biol., 2024

Estimation of multiple networks with common structures in heterogeneous subgroups.

Xing Qin, Jianhua Hu, Shuangge Ma, Mengyun Wu

J. Multivar. Anal., 2024

Heterogeneity-aware Clustered Distributed Learning for Multi-source Data Analysis.

Yuanxing Chen, Qingzhao Zhang, Shuangge Ma, Kuangnan Fang

J. Mach. Learn. Res., 2024

Penalized Generative Variable Selection.

Tong Wang, Jian Huang, Shuangge Ma

CoRR, 2024

2023

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

Rui Ren, Kuangnan Fang, Qingzhao Zhang, Shuangge Ma

Bioinform., December, 2023

The Bayesian regularized quantile varying coefficient model.

Fei Zhou, Jie Ren, Shuangge Ma, Cen Wu

Comput. Stat. Data Anal., November, 2023

Locally sparse quantile estimation for a partially functional interaction model.

Weijuan Liang, Qingzhao Zhang, Shuangge Ma

Comput. Stat. Data Anal., October, 2023

Aligned deep neural network for integrative analysis with high-dimensional input.

Shunqin Zhang, Sanguo Zhang, Huangdi Yi, Shuangge Ma

J. Biomed. Informatics, August, 2023

Prior information-assisted integrative analysis of multiple datasets.

Feifei Wang, Dongzuo Liang, Yang Li, Shuangge Ma

Bioinform., August, 2023

Editorial.

Shuangge Ma

Briefings Bioinform., July, 2023

Hierarchy-assisted gene expression regulatory network analysis.

Han Yan, Sanguo Zhang, Shuangge Ma

Stat. Anal. Data Min., June, 2023

2^nd special issue on BIOSTATISTICS.

Shuangge Ma, Martina Mittlböck, F. Javier Rubio, Catherine C. Liu

Comput. Stat. Data Anal., May, 2023

Unified model-free interaction screening via CV-entropy filter.

Wei Xiong, Yaxian Chen, Shuangge Ma

Comput. Stat. Data Anal., April, 2023

Spatio-temporally smoothed deep survival neural network.

Yang Li, Dongzuo Liang, Shuangge Ma, Chenjin Ma

J. Biomed. Informatics, January, 2023

A General Framework for Identifying Hierarchical Interactions and Its Application to Genomics Data.

Xiao Zhang, Xingjie Shi, Yiming Liu, Xu Liu, Shuangge Ma

J. Comput. Graph. Stat., 2023

2022

A tree-based gene-environment interaction analysis with rare features.

Mengque Liu, Qingzhao Zhang, Shuangge Ma

Stat. Anal. Data Min., 2022

Default risk prediction and feature extraction using a penalized deep neural network.

Cunjie Lin, Nan Qiao, Wenli Zhang, Yang Li, Shuangge Ma

Stat. Comput., 2022

Subgroup analysis for high-dimensional functional regression.

Xiaochen Zhang, Qingzhao Zhang, Shuangge Ma, Kuangnan Fang

J. Multivar. Anal., 2022

A generalized Wilcoxon-Mann-Whitney type test for multivariate data through pairwise distance.

Jiamin Liu, Shuangge Ma, Wangli Xu, Liping Zhu

J. Multivar. Anal., 2022

Biclustering analysis of functionals via penalized fusion.

Kuangnan Fang, Yuanxing Chen, Shuangge Ma, Qingzhao Zhang

J. Multivar. Anal., 2022

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

Mengque Liu, Xia Zou, Jiyin Chen, Shuangge Ma

Entropy, 2022

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

Mengque Liu, Xinyan Fan, Shuangge Ma

Entropy, 2022

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

Xiaoyan Wang, Hongduo Liu, Shuangge Ma

Bioinform., 2022

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

Yang Li, Shaodong Xu, Shuangge Ma, Mengyun Wu

Bioinform., 2022

iSFun: an R package for integrative dimension reduction analysis.

Kuangnan Fang, Rui Ren, Qingzhao Zhang, Shuangge Ma

Bioinform., 2022

Replicability in cancer omics data analysis: measures and empirical explorations.

Jiping Wang, Hongmin Liang, Qingzhao Zhang, Shuangge Ma

Briefings Bioinform., 2022

Analysis of cancer omics data: a selective review of statistical techniques.

Chenjin Ma, Mengyun Wu, Shuangge Ma

Briefings Bioinform., 2022

2021

An association test for functional data based on Kendall's Tau.

Sneha Jadhav, Shuangge Ma

J. Multivar. Anal., 2021

Promote sign consistency in the joint estimation of precision matrices.

Qingzhao Zhang, Shuangge Ma, Yuan Huang

Comput. Stat. Data Anal., 2021

Marginal false discovery rate for a penalized transformation survival model.

Weijuan Liang, Shuangge Ma, Cunjie Lin

Comput. Stat. Data Anal., 2021

Conditional score matching for high-dimensional partial graphical models.

Xinyan Fan, Qingzhao Zhang, Shuangge Ma, Kuangnan Fang

Comput. Stat. Data Anal., 2021

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

Mengyun Wu, Xing Qin, Shuangge Ma

Bioinform., 2021

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

Mingyang Ren, Sanguo Zhang, Qingzhao Zhang, Shuangge Ma

Bioinform., 2021

Vertical integration methods for gene expression data analysis.

Mengyun Wu, Huangdi Yi, Shuangge Ma

Briefings Bioinform., 2021

2020

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

Hao Mei, Yaqing Xu, Jiping Wang, Shuangge Ma

Entropy, 2020

Structured analysis of the high-dimensional FMR model.

Mengque Liu, Qingzhao Zhang, Kuangnan Fang, Shuangge Ma

Comput. Stat. Data Anal., 2020

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

Sebastian J. Teran Hidalgo, Mengyun Wu, Shuangge Ma

Bioinform., 2020

2019

A modified mean-variance feature-screening procedure for ultrahigh-dimensional discriminant analysis.

Shengmei He, Shuangge Ma, Wangli Xu

Comput. Stat. Data Anal., 2019

Robust genetic interaction analysis.

Mengyun Wu, Shuangge Ma

Briefings Bioinform., 2019

2018

Robust network-based analysis of the associations between (epi)genetic measurements.

Cen Wu, Qingzhao Zhang, Yu Jiang, Shuangge Ma

J. Multivar. Anal., 2018

Integrative sparse principal component analysis.

Kuangnan Fang, Xinyan Fan, Qingzhao Zhang, Shuangge Ma

J. Multivar. Anal., 2018

A Forward and Backward Stagewise algorithm for nonconvex loss functions with adaptive Lasso.

Xingjie Shi, Yuan Huang, Jian Huang, Shuangge Ma

Comput. Stat. Data Anal., 2018

2017

Accounting for clinical covariates and interactions in ranking genomic markers using ROC.

Tao Yu, Jialiang Li, Shuangge Ma

Commun. Stat. Simul. Comput., 2017

2016

Lasso Regression Based on Empirical Mode Decomposition.

Lei Qin, Shuangge Ma, Jung-Chen Lin, Ben-Chang Shia

Commun. Stat. Simul. Comput., 2016

Grouped Variable Selection Using Area under the ROC with Imbalanced Data.

Yang Li, Yichen Qin, Limin Wang, Jiaxu Chen, Shuangge Ma

Commun. Stat. Simul. Comput., 2016

Identification of proportionality structure with two-part models using penalization.

Kuangnan Fang, Xiaoyan Wang, Ben-Chang Shia, Shuangge Ma

Comput. Stat. Data Anal., 2016

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

Jin Liu, Xiang Wan, Shuangge Ma, Can Yang

Bioinform., 2016

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

Xiaonan Hu, Wei Zhang, Sanguo Zhang, Shuangge Ma, Qizhai Li

Bioinform., 2016

2015

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

Xingjie Shi, Qing Zhao, Jian Huang, Yang Xie, Shuangge Ma

Bioinform., 2015

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

Qing Zhao, Xingjie Shi, Yang Xie, Jian Huang, Ben-Chang Shia, Shuangge Ma

Briefings Bioinform., 2015

A selective review of robust variable selection with applications in bioinformatics.

Cen Wu, Shuangge Ma

Briefings Bioinform., 2015

Measures for the degree of overlap of gene signatures and applications to TCGA.

Xingjie Shi, Huangdi Yi, Shuangge Ma

Briefings Bioinform., 2015

2014

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

Xingjie Shi, Shihao Shen, Jin Liu, Jian Huang, Yong Zhou, Shuangge Ma

Briefings Bioinform., 2014

2012

Identification of breast cancer prognosis markers via integrative analysis.

Shuangge Ma, Ying Dai, Jian Huang, Yang Xie

Comput. Stat. Data Anal., 2012

Integrative prescreening in analysis of multiple cancer genomic studies.

Rui Song, Jian Huang, Shuangge Ma

BMC Bioinform., 2012

Adjusting confounders in ranking biomarkers: a model-based ROC approach.

Tao Yu, Jialiang Li, Shuangge Ma

Briefings Bioinform., 2012

2011

Fuzzy Canonical Discriminant Analysis: Theory and Practice.

Ben-Chang Shia, Jianping Zhu, Kuangnan Fang, Shuangge Ma

Commun. Stat. Simul. Comput., 2011

Ranking prognosis markers in cancer genomic studies.

Shuangge Ma, Xiao Song

Briefings Bioinform., 2011

Principal component analysis based methods in bioinformatics studies.

Shuangge Ma, Ying Dai

Briefings Bioinform., 2011

2010

Incorporating gene co-expression network in identification of cancer prognosis markers.

Shuangge Ma, Mingyu Shi, Yang Li, Danhui Yi, Ben-Chang Shia

BMC Bioinform., 2010

Detection of gene pathways with predictive power for breast cancer prognosis.

Shuangge Ma, Michael R. Kosorok

BMC Bioinform., 2010

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

Shuangge Ma, Yawei Zhang, Jian Huang, Xuesong Han, Theodore Holford, Qing Lan, Nathaniel Rothman, Peter Boyle, Tongzhang Zheng

Bioinform., 2010

Semiparametric prognosis models in genomic studies.

Shuangge Ma, Jian Huang, Mingyu Shi, Yang Li, Ben-Chang Shia

Briefings Bioinform., 2010

2009

Regularized gene selection in cancer microarray meta-analysis.

Shuangge Ma, Jian Huang

BMC Bioinform., 2009

Identification of differential gene pathways with principal component analysis.

Shuangge Ma, Michael R. Kosorok

Bioinform., 2009

Enriching PubMed Related Article Search with Sentence Level Co-citations.

Nam Tran, Pedro Alves, Shuangge Ma, Michael Krauthammer

Proceedings of the AMIA 2009, 2009

2008

Penalized feature selection and classification in bioinformatics.

Shuangge Ma, Jian Huang

Briefings Bioinform., 2008

2007

Supervised group Lasso with applications to microarray data analysis.

Shuangge Ma, Xiao Song, Jian Huang

BMC Bioinform., 2007

Additive risk survival model with microarray data.

Shuangge Ma, Jian Huang

BMC Bioinform., 2007

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

Shuangge Ma, Jian Huang

Bioinform., 2007

2006

Regularized binormal ROC method in disease classificationusing microarray data.

Shuangge Ma, Xiao Song, Jian Huang

BMC Bioinform., 2006

Empirical study of supervised gene screening.

Shuangge Ma

BMC Bioinform., 2006

2005

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

Shuangge Ma, Jian Huang

Bioinform., 2005