Research Topics
Genomes and GenesSpecies | Shuangge MaSummaryAffiliation: Yale University Country: USA Publications
Research Grants
| Collaborators
|
Detail Information
Publications
Health insurance coverage, medical expenditure and coping strategy: evidence from TaiwanKuangnan Fang
Department of Statistics, Xiamen University, Xiamen, China
BMC Health Serv Res 12:442. 2012..Of special interest are household insurance coverage, medical expenditures (both gross and out-of-pocket), and coping strategies...
Gene network-based cancer prognosis analysis with sparse boostingShuangge Ma
School of Public Health, Yale University, New Haven, CT 06520, USA
Genet Res (Camb) 94:205-21. 2012..It outperforms alternatives including the boosting and penalization approaches by identifying a smaller number of genes/modules and/or having better prediction performance...
Adjusting confounders in ranking biomarkers: a model-based ROC approachTao Yu
University of Wisconsin, Madison, USA
Brief Bioinform 13:513-23. 2012..Analysis of two cancer gene-expression studies demonstrates that adjusting for confounders can lead to substantially different rankings of genes...
Identification of breast cancer prognosis markers using integrative sparse boostingS Ma
School of Public Health, Yale University, New Haven CT 06520, USA
Methods Inf Med 51:152-61. 2012..Integrative analysis of data from multiple independent studies has a larger sample size and may provide a cost-effective solution...
Genome-wide methylation and expression profiling identifies promoter characteristics affecting demethylation-induced gene up-regulation in melanomaJill C Rubinstein
Interdepartmental Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT 06520, USA
BMC Med Genomics 3:4. 2010..The cytosine analog 5-aza-2'-deoxycytidine (decitabine) induces genomic hypomethylation by inhibiting DNA methyltransferase, and is an example of an epigenetic agent that is thought to act by up-regulating silenced genes...
Semiparametric prognosis models in genomic studiesShuangge Ma
School of Public Health, Yale University, USA
Brief Bioinform 11:385-93. 2010..We suggest that in practical data analysis, more attention should be paid to the model assumption, and multiple models may need to be considered...
Detection of gene pathways with predictive power for breast cancer prognosisShuangge Ma
School of Public Health, Yale University, New Haven, CT 06520, USA
BMC Bioinformatics 11:1. 2010..The goal of this study is to identify gene pathways with predictive power for breast cancer prognosis. Since our goal is fundamentally different from that of existing studies, a new pathway analysis method is proposed...
Identification of genes associated with multiple cancers via integrative analysisShuangge Ma
School of Public Health, Yale University, New Haven, CT 06520, USA
BMC Genomics 10:535. 2009..A comprehensive description of the associations between genes and cancers requires identification of not only multiple genes associated with a specific type of cancer but also genes associated with multiple cancers...
Identification of non-Hodgkin's lymphoma prognosis signatures using the CTGDR methodShuangge Ma
School of Public Health, Yale University, New Haven, CT 06510, USA
Bioinformatics 26:15-21. 2010..We propose using resampling methods to evaluate the predictive power and reproducibility of identified genes and SNPs. Simulation study and data analysis suggest satisfactory performance of the CTGDR method...
Incorporating gene co-expression network in identification of cancer prognosis markersShuangge Ma
School of Public Health, Yale University, New Haven, CT 06520, USA
BMC Bioinformatics 11:271. 2010..Many existing studies assume the interchangeability of gene effects and ignore the coordination among them...
Statistical modeling of Agatston score in multi-ethnic study of atherosclerosis (MESA)Shuangge Ma
School of Public Health, Yale University, New Haven, Connecticut, United States of America
PLoS ONE 5:e12036. 2010..In contrast, for the purpose of prediction, the parametric model with proportional covariate effects is sufficient. This study provides a statistical basis for describing the behaviors of CAC and insights into its biological mechanisms...
Ranking prognosis markers in cancer genomic studiesShuangge Ma
Yale University, New Haven, CT 06520, USA
Brief Bioinform 12:33-40. 2011..In data analysis, the concordance measure generates rankings significantly different from those under the semiparametric models...
Incorporating higher-order representative features improves prediction in network-based cancer prognosis analysisShuangge Ma
School of Public Health, Yale University, New Haven, CT, USA
BMC Med Genomics 4:5. 2011..In several published studies, it has been suggested that the first principal components of individual modules, also referred to as "eigengenes", may sufficiently represent the corresponding modules...
Principal component analysis based methods in bioinformatics studiesShuangge Ma
60 College St, LEPH 209, School of Public Health, Yale University, New Haven, CT 06520, USA
Brief Bioinform 12:714-22. 2011....
Integrative analysis and variable selection with multiple high-dimensional data setsShuangge Ma
School of Public Health, Yale University, 60 College Street, New Haven, CT 06520, USA
Biostatistics 12:763-75. 2011..We propose an efficient computational algorithm and establish the asymptotic consistency property. Simulations and applications in cancer profiling studies show satisfactory performance of the proposed approach...
Integrative analysis of multiple cancer prognosis studies with gene expression measurementsShuangge Ma
School of Public Health, Yale University, New Haven, CT, USA
Stat Med 30:3361-71. 2011..We apply the GMCP to four microarray studies and identify genes associated with the prognosis of breast cancer...
Combining clinical and genomic covariates via Cov-TGDRShuangge Ma
Department of Epidemiology and Public Health, Yale University, New Haven, CT, USA
Cancer Inform 3:371-8. 2007..Analysis of the Breast Cancer data and the Follicular lymphoma data show that the proposed approach can have better prediction performance than using clinical or genomic covariates alone...
Identification of differential gene pathways with principal component analysisShuangge Ma
Department of Epidemiology and Public Health, Yale University, New Haven, CT 06510, USA
Bioinformatics 25:882-9. 2009..It is of great interest to identify differential gene pathways that are associated with the variations of phenotypes...
Regularized gene selection in cancer microarray meta-analysisShuangge Ma
Department of Epidemiology and Public Health, Yale University, New Haven, CT 06520, USA
BMC Bioinformatics 10:1. 2009..The meta analysis of cancer microarray data is challenging because of the high dimensionality of gene expressions and the differences in experimental settings amongst different experiments...
Supervised group Lasso with applications to microarray data analysisShuangge Ma
Department of Epidemiology and Public Health, Yale University, New Haven, CT 06520, USA
BMC Bioinformatics 8:60. 2007..However, most available statistical methods for gene selection do not take into consideration the cluster structure...
Additive risk survival model with microarray dataShuangge Ma
Department of Epidemiology and Public Health, Yale University, New Haven, CT 06520, USA
BMC Bioinformatics 8:192. 2007..In this article, we investigate simultaneous estimation and gene selection with right censored survival data and high dimensional gene expression measurements...
Combining multiple markers for classification using ROCShuangge Ma
Division of Biostatistics, Yale University, New Haven, Connecticut 06520, USA
Biometrics 63:751-7. 2007..We also propose Monte Carlo methods to assess the overall prediction performance and the relative importance of individual markers. Finite sample performance is evaluated using simulation studies and two public data sets...
Clustering threshold gradient descent regularization: with applications to microarray studiesShuangge Ma
Department of Epidemiology and Public Health, Yale University, New Haven, CT, USA
Bioinformatics 23:466-72. 2007..First, the model is sparse in the sense that only a subset of the parameter vector is non-zero. Second, the cluster structures of gene expressions are properly accounted for...
Penalized feature selection and classification in bioinformaticsShuangge Ma
Department of Epidemiology and Public Health, Yale University, USA
Brief Bioinform 9:392-403. 2008..Our goal is to make interested researchers aware of these feature selection and classification methods that are applicable to high-dimensional bioinformatics data...
Empirical study of supervised gene screeningShuangge Ma
Department of Epidemiology and Public Health, Yale University, New Haven, CT 06520, USA
BMC Bioinformatics 7:537. 2006..Despite of its extensive usage, statistical study of supervised gene screening remains scarce. Our study is partly motivated by the differences in gene discovery results caused by using different supervised gene screening methods...
Polymorphisms in immune function genes and non-Hodgkin lymphoma survivalBriseis Aschebrook-Kilfoy
School of Public Health, Yale University, New Haven, CT, USA
J Cancer Surviv 6:102-14. 2012..Given these biologic properties, there is reason to hypothesize that cytokine activity influences the pathogenesis of non-Hodgkin lymphoma (NHL)...
Vegetable and fruit intake and non-Hodgkin lymphoma survival in Connecticut womenXuesong Han
School of Public Health, Yale University, New Haven, CT, USA
Leuk Lymphoma 51:1047-54. 2010..Our study suggests that increasing vegetable and citrus fruit consumption could be a useful strategy to improve survival in NHL patients...
Sexual functioning among testicular cancer survivors: a case-control study in the U.SChristopher Kim
Yale School of Public Health, Yale University, 60 College Street, New Haven, CT 06520, USA
J Psychosom Res 73:68-73. 2012..We conducted a case-control study among United States military men to examine whether testicular cancer survivors experienced impaired sexual function...
Quality of life among testicular cancer survivors: a case-control study in the United StatesChristopher Kim
Yale School of Public Health, Yale University, 60 College Street, LEPH 440, New Haven, CT 06520, USA
Qual Life Res 20:1629-37. 2011..Evidence from previous studies has suggested there may be physical and mental changes in health among testicular cancer survivors. No studies have been conducted in the United States, however...
Alcohol consumption and non-Hodgkin lymphoma survivalXuesong Han
School of Public Health, Yale University, New Haven, CT 06520, USA
J Cancer Surviv 4:101-9. 2010..Alcohol drinking has also been associated with reduced risk of non-Hodgkin lymphoma (NHL). Here, we examined the role of alcohol consumption on NHL survival by type of alcohol consumed and NHL subtype...
Identification of cancer genomic markers via integrative sparse boostingYuan Huang
Department of Statistics, Penn State University, 301 Thomas Building, State College, PA 16801, USA
Biostatistics 13:509-22. 2012..The proposed approach is used to identify markers of pancreatic cancer and liver cancer...
Genetic polymorphisms in the metabolic pathway and non-Hodgkin lymphoma survivalXuesong Han
Yale University School of Public Health, 60 College Street, New Haven, CT 06520 8034, USA
Am J Hematol 85:51-6. 2010..Our study suggests that genetic polymorphisms in metabolic pathways may help improve the prediction of NHL survival and prognosis...
Effect of health expenses on household capabilities and resource allocation in a rural commune in VietnamKim Thuy Nguyen
Yale University School of Medicine, New Haven, Connecticut, United States of America
PLoS ONE 7:e47423. 2012..We aim to re-conceptualize the impact of health expenses on household "flourishing" in terms of "basic capabilities."..
Breast cancers in U.S. residing Indian-Pakistani versus non-Hispanic White women: comparative analysis of clinical-pathologic features, treatment, and survivalMeena S Moran
Department of Therapeutic Radiology, Yale University School of Medicine, 333 Cedar Street, PO Box 208040, New Haven, CT 06520 8040, USA
Breast Cancer Res Treat 128:543-51. 2011..The more aggressive clinical-pathologic features stage-for-stage in IP women may partially explain the more frequent use of post-mastectomy RT in this patient population. These findings warrant further investigation...
A birth cohort analysis of the incidence of papillary thyroid cancer in the United States, 1973-2004Cairong Zhu
Yale University School of Public Health, New Haven, Connecticut 06520, USA
Thyroid 19:1061-6. 2009....
The risk of second cancers after diagnosis of primary thyroid cancer is elevated in thyroid microcarcinomasChristopher Kim
1 Yale School of Public Health, Yale University, New Haven, Connecticut
Thyroid 23:575-82. 2013....
A prospective, multicenter study of complementary/alternative medicine (CAM) utilization during definitive radiation for breast cancerMeena S Moran
Department of Therapeutic Radiology, Yale University School of Medicine, New Haven, Connecticut 06520 8040, USA
Int J Radiat Oncol Biol Phys 85:40-6. 2013..This prospective, multi-institutional study was conducted to define CAM utilization in breast cancer during definitive radiation...
Incorporating group correlations in genome-wide association studies using smoothed group LassoJin Liu
School of Public Health, Yale University, New Haven, CT 06520, USA
Biostatistics 14:205-19. 2013..Simulation studies are used to evaluate the finite sample performance. Comparison with group Lasso shows that SGL is more effective in selecting true positives. Two datasets are analyzed using the SGL method...
Exome sequencing identifies recurrent somatic RAC1 mutations in melanomaMichael Krauthammer
Department of Pathology, Yale University School of Medicine, New Haven, Connecticut, USA
Nat Genet 44:1006-14. 2012..These findings raise the possibility that pharmacological inhibition of downstream effectors of RAC1 signaling could be of therapeutic benefit...
Health insurance coverage and impact: a survey in three cities in ChinaKuangnan Fang
Department of Statistics, School of Economics, Xiamen University, Xiamen, China
PLoS ONE 7:e39157. 2012..The goal was to provide an updated description of the effect of health insurance on the population covered. Of special interest were insurance coverage, gross and out-of-pocket medical cost and coping strategies...
Impact of health insurance on health care treatment and cost in Vietnam: a health capability approach to financial protectionKim Thuy Nguyen
School of Medicine, Yale University, New Haven, CT 06510, USA
Am J Public Health 102:1450-61. 2012..However, from a normative perspective, out-of-pocket costs are still too high, and accessibility issues persist; a comprehensive insurance package and additional health system reforms are needed...
Impact of illness and medical expenditure on household consumptions: a survey in western ChinaKuangnan Fang
Department of Statistics, School of Economics, Xiamen University, Xiamen, China
PLoS ONE 7:e52928. 2012..In November and December of 2011, a survey was conducted in three cities in western China, namely Lan Zhou, Gui Lin and Xi An, and their surrounding rural areas...
Analysis of genome-wide association studies with multiple outcomes using penalizationJin Liu
Department of Biostatistics, School of Public Health, Yale University, New Haven, Connecticut, United States of America
PLoS ONE 7:e51198. 2012..An efficient computational algorithm is developed. Simulation study and analysis of the heterogeneous stock mice dataset show that the proposed method can outperform existing penalization methods...
Fertility among testicular cancer survivors: a case-control study in the U.SChristopher Kim
Yale University, New Haven, CT 06520, USA
J Cancer Surviv 4:266-73. 2010..Although TGCT treatment directly affects gonadal tissues, it remains unclear whether there are long-term effects on fertility...
Incorporating network structure in integrative analysis of cancer prognosis dataJin Liu
Department of Biostatistics, School of Public Health, Yale University, New Haven, CT 06520, USA
Genet Epidemiol 37:173-83. 2013..We analyze three lung cancer prognosis datasets, and demonstrate that incorporating the network structure can lead to the identification of important genes and improved prediction performance...
Integrative prescreening in analysis of multiple cancer genomic studiesRui Song
Department of Statistics, Colorado State University, Fort Collins, USA
BMC Bioinformatics 13:168. 2012..A computationally affordable remedy is prescreening, which fits marginal models, can be conducted in a parallel manner, and has low computational cost...
Regularized ROC method for disease classification and biomarker selection with microarray dataShuangge Ma
Department of Biostatistics, University of Washington, Washington, USA
Bioinformatics 21:4356-62. 2005..The proposed approach is demonstrated with a simulation study, the Colon data and the Estrogen data. The proposed approach yields parsimonious models with excellent classification performance...
Identifying subset of genes that have influential impacts on cancer progression: a new approach to analyze cancer microarray dataMingyu Shi
Department of Mechanical Engineering, University of California, Berkeley, CA, USA
Funct Integr Genomics 8:361-73. 2008....
Multiple augmentation with partial missing regressorsShuangge Ma
Department of Biostatistics, University of Washington, Seattle 98115, USA
Biom J 48:83-92. 2006..We apply the proposed technique to the Multi-Ethic Study of Atherosclerosis (MESA) data and the South Wales Nickel Worker Study data...
Regularized binormal ROC method in disease classification using microarray dataShuangge Ma
Department of Biostatistics, University of Washington, Seattle, WA 98195, USA
BMC Bioinformatics 7:253. 2006..It is also of interest to develop methods for evaluation of classification performance and ranking of identified biomarkers...
Robust semiparametric microarray normalization and significance analysisShuangge Ma
Department of Biostatistics, University of Washington, Seattle, Washington 98115, USA
Biometrics 62:555-61. 2006..A small simulation study is used to compare finite sample performance of the proposed approach with alternatives. We also demonstrate the proposed method with a real dataset...
Regularized estimation in the accelerated failure time model with high-dimensional covariatesJian Huang
Department of Statistics and Actuarial Science, University of Iowa, Iowa City, Iowa 52242, USA
Biometrics 62:813-20. 2006..The proposed method is evaluated using simulations and demonstrated on a real data example...
Additive risk models for survival data with high-dimensional covariatesShuangge Ma
Department of Biostatistics, University of Washington, Seattle, Washington 98195, USA
Biometrics 62:202-10. 2006..It is shown that this methodology is numerically stable and effective in dimension reduction, while still being able to provide satisfactory prediction and classification results...
A semiparametric approach for the nonparametric transformation survival model with multiple covariatesXiao Song
Department of Biostatistics, University of Washington, Seattle, WA 98195, USA
Biostatistics 8:197-211. 2007..The estimator is evaluated via simulation studies and illustrated with the Veterans Administration lung cancer data set...
Multiple augmentation for interval-censored data with measurement errorXiao Song
Department of Epidemiology and Biostatistics, College of Public Health, University of Georgia, Athens, GA 30602, USA
Stat Med 27:3178-90. 2008..The proposed approach is easy to implement and can be readily extended to other semiparametric models. Extensive simulations show that the proposed approach has satisfactory finite-sample performance. The ACTG 175 data are then analyzed...
Path consistent model selection in additive risk model via LassoChenlei Leng
Department of Statistics and Applied Probability, National University of Singapore, Singapore
Stat Med 26:3753-70. 2007..Applications of the proposed approach to three right censored survival data sets show that the proposed modified Lasso yields parsimonious models with satisfactory estimation and prediction results...
Research Grants
- Novel Methods for Integrative Analysis of Cancer Genomic DataShuangge Ma; Fiscal Year: 2010..Applications of the proposed methods will lead to identification of clinically useful cancer markers. ..
