29 Publications (Page 1 of 2)
2023
Springer: An R package for bi-level variable selection of high-dimensional longitudinal data.
Zhou, Fei⋅Liu, Yuwen⋅Ren, Jie⋅Wang, Weiqun and Wu, Cen
Frontiers in genetics, vol. 14, pp. 1088223, 2023. | Journal Article
The Bayesian Regularized Quantile Varying Coefficient Model.
Zhou, Fei⋅Ren, Jie⋅Ma, Shuangge and Wu, Cen
Computational statistics & data analysis, vol. 187, November 2023. | Journal Article
2022
Interep: An R Package for High-Dimensional Interaction Analysis of the Repeated Measurement Data
Zhou, Fei⋅Ren, Jie⋅Liu, Yuwen⋅Li, Xiaoxi⋅Wang, Weiqun⋅Wu, Cen and Wu, Cen
Genes, vol. 13, (no. 3), 2022. | Journal Article
Robust bayesian variable selection for gene-environment interactions.
Ren, Jie⋅Zhou, Fei⋅Li, Xiaoxi⋅Ma, Shuangge⋅Jiang, Yu and Wu, Cen
Biometrics, April 8, 2022. | Journal Article
Sparse group variable selection for gene-environment interactions in the longitudinal study.
Zhou, Fei⋅Lu, Xi⋅Ren, Jie⋅Fan, Kun⋅Ma, Shuangge and Wu, Cen
Genetic epidemiology, June 29, 2022. | Journal Article
2021
Cervical Cancer Development: Implications of HPV16 E6E7-NFX1-123 Regulated Genes.Quist, Kevin M⋅Quist, Kevin M⋅Quist, Kevin M⋅Solorzano, Isaiah⋅Solorzano, Isaiah⋅Solorzano, Isaiah⋅Wendel, Sebastian O⋅Wendel, Sebastian O⋅Wendel, Sebastian O⋅Chintala, Sreenivasulu⋅Chintala, Sreenivasulu⋅Chintala, Sreenivasulu⋅Wu, Cen⋅Wu, Cen⋅Wu, Cen⋅Wallace, Nicholas A⋅Wallace, Nicholas A⋅Wallace, Nicholas A⋅Katzenellenbogen, Rachel A⋅Katzenellenbogen, Rachel A⋅Katzenellenbogen, Rachel A⋅Katzenellenbogen, Rachel A and Katzenellenbogen, Rachel ACancers, vol. 13, (no. 24), December 8, 2021.
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Gene-Environment Interaction: A Variable Selection Perspective.
Zhou, Fei⋅Ren, Jie⋅Lu, Xi⋅Ma, Shuangge and Wu, Cen
Methods in molecular biology (Clifton, N.J.), vol. 2212, pp. 191-223, 2021. | Journal Article
Identifying Gene-Environment Interactions With Robust Marginal Bayesian Variable Selection.
Lu, Xi⋅Fan, Kun⋅Ren, Jie and Wu, Cen
Frontiers in genetics, vol. 12, pp. 667074, 2021. | Journal Article
Integrating Multi-Omics Data for Gene-Environment Interactions.
Du, Yinhao⋅Fan, Kun⋅Lu, Xi and Wu, Cen
Biotech (Basel (Switzerland)), vol. 10, (no. 1), January 29, 2021. | Journal Article
2020
A weighted empirical Bayes risk prediction model using multiple traitsLi, Gengxin⋅Li, Gengxin⋅Hou, Lin⋅Hou, Lin⋅Liu, Xiaoyu⋅Liu, Xiaoyu⋅Wu, Cen and Wu, CenStatistical Applications in Genetics and Molecular Biology, vol. 19, (no. 3), 2020.
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Prediction of RECRUITment In randomized clinical Trials (RECRUIT-IT)-rationale and design for an international collaborative study.Kasenda, Benjamin⋅Kasenda, Benjamin⋅Kasenda, Benjamin⋅Liu, Junhao⋅Liu, Junhao⋅Liu, Junhao⋅Jiang, Yu⋅Jiang, Yu⋅Jiang, Yu⋅Gajewski, Byron⋅Gajewski, Byron⋅Gajewski, Byron⋅Wu, Cen⋅Wu, Cen⋅Wu, Cen⋅von Elm, Erik⋅von Elm, Erik⋅von Elm, Erik⋅Schandelmaier, Stefan⋅Schandelmaier, Stefan⋅Schandelmaier, Stefan⋅Moffa, Giusi⋅Moffa, Giusi⋅Moffa, Giusi⋅Trelle, Sven⋅Trelle, Sven⋅Trelle, Sven⋅Schmitt, Andreas Michael⋅Schmitt, Andreas Michael⋅Schmitt, Andreas Michael⋅Herbrand, Amanda K⋅Herbrand, Amanda K⋅Herbrand, Amanda K⋅Gloy, Viktoria⋅Gloy, Viktoria⋅Gloy, Viktoria⋅Speich, Benjamin⋅Speich, Benjamin⋅Speich, Benjamin⋅Hopewell, Sally⋅Hopewell, Sally⋅Hopewell, Sally⋅Hemkens, Lars G⋅Hemkens, Lars G⋅Hemkens, Lars G⋅Sluka, Constantin⋅Sluka, Constantin⋅Sluka, Constantin⋅McGill, Kris⋅McGill, Kris⋅McGill, Kris⋅Meade, Maureen⋅Meade, Maureen⋅Meade, Maureen⋅Cook, Deborah⋅Cook, Deborah⋅Cook, Deborah⋅Lamontagne, Francois⋅Lamontagne, Francois⋅Lamontagne, Francois⋅Tréluyer, Jean-Marc⋅Tréluyer, Jean-Marc⋅Tréluyer, Jean-Marc⋅Haidich, Anna-Bettina⋅Haidich, Anna-Bettina⋅Haidich, Anna-Bettina⋅Ioannidis, John P A⋅Ioannidis, John P A⋅Ioannidis, John P A⋅Treweek, Shaun⋅Treweek, Shaun⋅Treweek, Shaun⋅Briel, Matthias⋅Briel, Matthias and Briel, MatthiasTrials, vol. 21, (no. 1), pp. 731, August 21, 2020.
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2019
A Selective Review of Multi-Level Omics Data Integration Using Variable Selection
Wu, Cen⋅Zhou, Fei⋅Ren, Jie⋅Li, Xiaoxi⋅Jiang, Yu and Ma, Shuangge
High - Throughput, vol. 8, (no. 1), 2019. | Journal Article
Penalized Variable Selection for Lipid-Environment Interactions in a Longitudinal Lipidomics Study.Zhou, Fei⋅Zhou, Fei⋅Zhou, Fei⋅Ren, Jie⋅Ren, Jie⋅Ren, Jie⋅Li, Gengxin⋅Li, Gengxin⋅Li, Gengxin⋅Jiang, Yu⋅Jiang, Yu⋅Jiang, Yu⋅Li, Xiaoxi⋅Li, Xiaoxi⋅Li, Xiaoxi⋅Wang, Weiqun⋅Wang, Weiqun⋅Wang, Weiqun⋅Wu, Cen⋅Wu, Cen and Wu, CenGenes, vol. 10, (no. 12), December 3, 2019.
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Robust network-based regularization and variable selection for high-dimensional genomic data in cancer prognosis.Ren, Jie⋅Ren, Jie⋅Du, Yinhao⋅Du, Yinhao⋅Li, Shaoyu⋅Li, Shaoyu⋅Ma, Shuangge⋅Ma, Shuangge⋅Jiang, Yu⋅Jiang, Yu⋅Wu, Cen and Wu, CenGenetic epidemiology, February 11, 2019.
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Semiparametric Bayesian variable selection for gene-environment interactions.
Ren, Jie⋅Zhou, Fei⋅Li, Xiaoxi⋅Chen, Qi⋅Zhang, Hongmei⋅Ma, Shuangge⋅Jiang, Yu and Wu, Cen
Statistics in medicine, December 21, 2019. | Journal Article
2018
Additive varying-coefficient model for nonlinear gene-environment interactionsWu, Cen⋅Wu, Cen⋅Cui, Yuehua and Cui, YuehuaStatistical Applications in Genetics and Molecular Biology, vol. 17, (no. 2), pp. 727-750, 2018.
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Robust network-based analysis of the associations between (epi)genetic measurements.
Wu, Cen⋅Zhang, Qingzhao⋅Jiang, Yu and Ma, Shuangge
Journal of multivariate analysis, vol. 168, pp. 119-130, November 2018. | Journal Article
2017
Dissecting gene-environment interactions: A penalized robust approach accounting for hierarchical structures.
Wu, Cen⋅Jiang, Yu⋅Ren, Jie⋅Cui, Yuehua and Ma, Shuangge
Statistics in medicine, October 16, 2017. | Journal Article
Identification of Prognostic Genes and Pathways in Lung Adenocarcinoma Using a Bayesian Approach.Jiang, Yu⋅Jiang, Yu⋅Huang, Yuan⋅Huang, Yuan⋅Du, Yinhao⋅Du, Yinhao⋅Zhao, Yinjun⋅Zhao, Yinjun⋅Ren, Jie⋅Ren, Jie⋅Ma, Shuangge⋅Ma, Shuangge⋅Wu, Cen and Wu, CenCancer informatics, vol. 16, pp. 1176935116684825, 2017.
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Network-based regularization for high dimensional SNP data in the case-control study of Type 2 diabetes.
Ren, Jie⋅He, Tao⋅Li, Ye⋅Liu, Sai⋅Du, Yinhao⋅Jiang, Yu and Wu, Cen
BMC genetics, vol. 18, (no. 1), pp. 44, May 16, 2017. | Journal Article
2015
A penalized robust semiparametric approach for gene-environment interactions.
Wu, Cen⋅Shi, Xingjie⋅Cui, Yuehua and Ma, Shuangge
Statistics in medicine, vol. 34, (no. 30), pp. 4016-4030, December 30, 2015. | Journal Article
A selective review of robust variable selection with applications in bioinformatics.
Wu, Cen and Ma, Shuangge
Briefings in bioinformatics, vol. 16, (no. 5), pp. 873-883, September 2015. | Journal Article
Exome sequencing identifies recurrent mutations in NF1 and RASopathy genes in sun-exposed melanomas.Krauthammer, Michael⋅Kong, Yong⋅Bacchiocchi, Antonella⋅Evans, Perry⋅Pornputtapong, Natapol⋅Wu, Cen⋅McCusker, James P⋅Ma, Shuangge⋅Cheng, Elaine⋅Straub, Robert⋅Serin, Merdan⋅Bosenberg, Marcus⋅Ariyan, Stephan⋅Narayan, Deepak⋅Sznol, Mario⋅Kluger, Harriet M⋅Mane, Shrikant⋅Schlessinger, Joseph⋅Lifton, Richard P and Halaban, RuthNature genetics, vol. 47, (no. 9), pp. 996-1002, September 2015.
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2014
A powerful statistical method identifies novel loci associated with diastolic blood pressure triggered by nonlinear gene-environment interactionWang, Honglang⋅He, Tao⋅Wu, Cen⋅Zhong, Ping-Shou and Cui, YuehuaBMC Proceedings, vol. 8, 2014.
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Integrative analysis of gene-environment interactions under a multi-response partially linear varying coefficient model.Wu, Cen⋅Cui, Yuehua and Ma, ShuanggeStatistics in medicine, vol. 33, (no. 28), pp. 4988-4998, December 10, 2014.
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