Regularized ROC method for disease classification and biomarker selection with microarray data. - Shuangge Ma; Jian Huang 003 (Bioinform., 2005)

Empirical study of supervised gene screening. - Shuangge Ma (BMC Bioinform., 2006)

Regularized binormal ROC method in disease classificationusing microarray data. - Shuangge Ma; Xiao Song; Jian Huang 003 (BMC Bioinform., 2006)

Clustering threshold gradient descent regularization: with applications to microarray studies. - Shuangge Ma; Jian Huang 003 (Bioinform., 2007)

Additive risk survival model with microarray data. - Shuangge Ma; Jian Huang 003 (BMC Bioinform., 2007)

Supervised group Lasso with applications to microarray data analysis. - Shuangge Ma; Xiao Song; Jian Huang 003 (BMC Bioinform., 2007)

Penalized feature selection and classification in bioinformatics. - Shuangge Ma; Jian Huang 003 (Briefings Bioinform., 2008)

Enriching PubMed Related Article Search with Sentence Level Co-citations. - Nam Tran; Pedro Alves; Shuangge Ma; Michael Krauthammer (AMIA, 2009)

Identification of differential gene pathways with principal component analysis. - Shuangge Ma; Michael R. Kosorok (Bioinform., 2009)

Regularized gene selection in cancer microarray meta-analysis. - Shuangge Ma; Jian Huang 003 (BMC Bioinform., 2009)

Semiparametric prognosis models in genomic studies. - Shuangge Ma; Jian Huang 003; Mingyu Shi; Yang Li 070; Ben-Chang Shia (Briefings Bioinform., 2010)

Identification of non-Hodgkin's lymphoma prognosis signatures using the CTGDR method. - Shuangge Ma; Yawei Zhang; Jian Huang 003; Xuesong Han; Theodore Holford; Qing Lan; Nathaniel Rothman; Peter Boyle; Tongzhang Zheng (Bioinform., 2010)

Detection of gene pathways with predictive power for breast cancer prognosis. - Shuangge Ma; Michael R. Kosorok (BMC Bioinform., 2010)

Incorporating gene co-expression network in identification of cancer prognosis markers. - Shuangge Ma; Mingyu Shi; Yang Li 070; Danhui Yi; Ben-Chang Shia (BMC Bioinform., 2010)

Principal component analysis based methods in bioinformatics studies. - Shuangge Ma; Ying Dai (Briefings Bioinform., 2011)

Ranking prognosis markers in cancer genomic studies. - Shuangge Ma; Xiao Song (Briefings Bioinform., 2011)

Fuzzy Canonical Discriminant Analysis: Theory and Practice. - Ben-Chang Shia; Jianping Zhu; Kuangnan Fang; Shuangge Ma (Commun. Stat. Simul. Comput., 2011)

Adjusting confounders in ranking biomarkers: a model-based ROC approach. - Tao Yu; Jialiang Li 001; Shuangge Ma (Briefings Bioinform., 2012)

Integrative prescreening in analysis of multiple cancer genomic studies. - Rui Song 006; Jian Huang 003; Shuangge Ma (BMC Bioinform., 2012)

Identification of breast cancer prognosis markers via integrative analysis. - Shuangge Ma; Ying Dai; Jian Huang 003; Yang Xie (Comput. Stat. Data Anal., 2012)

Similarity of markers identified from cancer gene expression studies: observations from GEO. - Xingjie Shi; Shihao Shen; Jin Liu 011; Jian Huang 003; Yong Zhou; Shuangge Ma (Briefings Bioinform., 2014)

Measures for the degree of overlap of gene signatures and applications to TCGA. - Xingjie Shi; Huangdi Yi; Shuangge Ma (Briefings Bioinform., 2015)

A selective review of robust variable selection with applications in bioinformatics. - Cen Wu; Shuangge Ma (Briefings Bioinform., 2015)

Combining multidimensional genomic measurements for predicting cancer prognosis: observations from TCGA. - Qing Zhao; Xingjie Shi; Yang Xie; Jian Huang 003; Ben-Chang Shia; Shuangge Ma (Briefings Bioinform., 2015)

Deciphering the associations between gene expression and copy number alteration using a sparse double Laplacian shrinkage approach. - Xingjie Shi; Qing Zhao; Jian Huang 003; Yang Xie; Shuangge Ma (Bioinform., 2015)

Group-combined P-values with applications to genetic association studies. - Xiaonan Hu; Wei Zhang; Sanguo Zhang; Shuangge Ma; Qizhai Li (Bioinform., 2016)

EPS: an empirical Bayes approach to integrating pleiotropy and tissue-specific information for prioritizing risk genes. - Jin Liu 011; Xiang Wan; Shuangge Ma; Can Yang 002 (Bioinform., 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)

Grouped Variable Selection Using Area under the ROC with Imbalanced Data. - Yang Li 070; Yichen Qin; Limin Wang; Jiaxu Chen; Shuangge Ma (Commun. Stat. Simul. Comput., 2016)

Lasso Regression Based on Empirical Mode Decomposition. - Lei Qin; Shuangge Ma; Jung-Chen Lin; Ben-Chang Shia (Commun. Stat. Simul. Comput., 2016)

Accounting for clinical covariates and interactions in ranking genomic markers using ROC. - Tao Yu; Jialiang Li 001; Shuangge Ma (Commun. Stat. Simul. Comput., 2017)

A Forward and Backward Stagewise algorithm for nonconvex loss functions with adaptive Lasso. - Xingjie Shi; Yuan Huang; Jian Huang 003; Shuangge Ma (Comput. Stat. Data Anal., 2018)

Integrative sparse principal component analysis. - Kuangnan Fang; Xinyan Fan; Qingzhao Zhang; Shuangge Ma (J. Multivar. Anal., 2018)

Robust network-based analysis of the associations between (epi)genetic measurements. - Cen Wu; Qingzhao Zhang; Yu Jiang 005; Shuangge Ma (J. Multivar. Anal., 2018)

Robust genetic interaction analysis. - Mengyun Wu; Shuangge Ma (Briefings Bioinform., 2019)

A modified mean-variance feature-screening procedure for ultrahigh-dimensional discriminant analysis. - Shengmei He; Shuangge Ma; Wangli Xu (Comput. Stat. Data Anal., 2019)

NCutYX: a package for clustering analysis of multilayer omics data. - Sebastian J. Teran Hidalgo; Mengyun Wu; Shuangge Ma (Bioinform., 2020)

Structured analysis of the high-dimensional FMR model. - Mengque Liu; Qingzhao Zhang; Kuangnan Fang; Shuangge Ma (Comput. Stat. Data Anal., 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)

Vertical integration methods for gene expression data analysis. - Mengyun Wu; Huangdi Yi; Shuangge Ma (Briefings Bioinform., 2021)

HeteroGGM: an R package for Gaussian graphical model-based heterogeneity analysis. - Mingyang Ren; Sanguo Zhang; Qingzhao Zhang; Shuangge Ma (Bioinform., 2021)

GEInter: an R package for robust gene-environment interaction analysis. - Mengyun Wu; Xing Qin; Shuangge Ma (Bioinform., 2021)

Conditional score matching for high-dimensional partial graphical models. - Xinyan Fan; Qingzhao Zhang; Shuangge Ma; Kuangnan Fang (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)

Promote sign consistency in the joint estimation of precision matrices. - Qingzhao Zhang; Shuangge Ma; Yuan Huang (Comput. Stat. Data Anal., 2021)

An association test for functional data based on Kendall's Tau. - Sneha Jadhav; Shuangge Ma (J. Multivar. Anal., 2021)

Analysis of cancer omics data: a selective review of statistical techniques. - Chenjin Ma; Mengyun Wu; Shuangge Ma (Briefings Bioinform., 2022)

Replicability in cancer omics data analysis: measures and empirical explorations. - Jiping Wang; Hongmin Liang; Qingzhao Zhang; Shuangge Ma (Briefings Bioinform., 2022)

iSFun: an R package for integrative dimension reduction analysis. - Kuangnan Fang; Rui Ren; Qingzhao Zhang; Shuangge Ma (Bioinform., 2022)

Network-based cancer heterogeneity analysis incorporating multi-view of prior information. - Yang Li 070; Shaodong Xu; Shuangge Ma; Mengyun Wu (Bioinform., 2022)

GEInfo: an R package for gene-environment interaction analysis incorporating prior information. - Xiaoyan Wang; Hongduo Liu; Shuangge Ma (Bioinform., 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)

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)

Biclustering analysis of functionals via penalized fusion. - Kuangnan Fang; Yuanxing Chen; Shuangge Ma; Qingzhao Zhang (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)

Subgroup analysis for high-dimensional functional regression. - Xiaochen Zhang; Qingzhao Zhang; Shuangge Ma; Kuangnan Fang (J. Multivar. Anal., 2022)

Default risk prediction and feature extraction using a penalized deep neural network. - Cunjie Lin; Nan Qiao 010; Wenli Zhang; Yang Li 070; Shuangge Ma (Stat. Comput., 2022)

A tree-based gene-environment interaction analysis with rare features. - Mengque Liu; Qingzhao Zhang; Shuangge Ma (Stat. Anal. Data Min., 2022)

A General Framework for Identifying Hierarchical Interactions and Its Application to Genomics Data. - Xiao Zhang; Xingjie Shi; Yiming Liu; Xu Liu 024; Shuangge Ma (J. Comput. Graph. Stat., 2023)

Spatio-temporally smoothed deep survival neural network. - Yang Li; Dongzuo Liang; Shuangge Ma; Chenjin Ma (J. Biomed. Informatics, 2023)

Unified model-free interaction screening via CV-entropy filter. - Wei Xiong; Yaxian Chen; Shuangge Ma (Comput. Stat. Data Anal., 2023)

2nd special issue on BIOSTATISTICS. - Shuangge Ma; Martina Mittlböck; F. Javier Rubio; Catherine C. Liu (Comput. Stat. Data Anal., 2023)

Hierarchy-assisted gene expression regulatory network analysis. - Han Yan; Sanguo Zhang; Shuangge Ma (Stat. Anal. Data Min., 2023)

Editorial. - Shuangge Ma (Briefings Bioinform., 2023)

Prior information-assisted integrative analysis of multiple datasets. - Feifei Wang; Dongzuo Liang; Yang Li 070; Shuangge Ma (Bioinform., 2023)

Aligned deep neural network for integrative analysis with high-dimensional input. - Shunqin Zhang; Sanguo Zhang; Huangdi Yi; Shuangge Ma (J. Biomed. Informatics, 2023)

Locally sparse quantile estimation for a partially functional interaction model. - Weijuan Liang; Qingzhao Zhang; Shuangge Ma (Comput. Stat. Data Anal., 2023)

The Bayesian regularized quantile varying coefficient model. - Fei Zhou; Jie Ren; Shuangge Ma; Cen Wu (Comput. Stat. Data Anal., 2023)

FunctanSNP: an R package for functional analysis of dense SNP data (with interactions). - Rui Ren; Kuangnan Fang; Qingzhao Zhang; Shuangge Ma (Bioinform., 2023)

Penalized Generative Variable Selection. - Tong Wang; Jian Huang; Shuangge Ma (CoRR, 2024)

Heterogeneity-aware Clustered Distributed Learning for Multi-source Data Analysis. - Yuanxing Chen; Qingzhao Zhang; Shuangge Ma; Kuangnan Fang (J. Mach. Learn. Res., 2024)

Estimation of multiple networks with common structures in heterogeneous subgroups. - Xing Qin; Jianhua Hu; Shuangge Ma; Mengyun Wu (J. Multivar. Anal., 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)

Hierarchical false discovery rate control for high-dimensional survival analysis with interactions. - Weijuan Liang; Qingzhao Zhang; Shuangge Ma (Comput. Stat. Data Anal., 2024)

Prediction Consistency Regularization for Learning with Noise Labels Based on Contrastive Clustering. - Xinkai Sun; Sanguo Zhang; Shuangge Ma (Entropy, 2024)

Joint modeling of mixed outcomes using a rank-based sparse neural network. - Jiajing Xue; Yaqing Xu; Jingmao Li; Shuangge Ma; Kuangnan Fang (J. Biomed. Informatics, 2025)

ContinualFlow: Learning and Unlearning with Neural Flow Matching. - Lorenzo Simone; Davide Bacciu; Shuangge Ma (CoRR, 2025)

Subgroup Analysis of Differential Networks with Latent Variables. - Linxi Li; Shuangge Ma; Qingzhao Zhang (Stat. Comput., 2025)