28 Publications (Page 1 of 2)
2023
Springer: An R package for bi-level variable selection of high-dimensional longitudinal data.
Zhou, FeiLiu, YuwenRen, JieWang, Weiqun and Wu, Cen
Frontiers in genetics, vol. 14, pp. 1088223, 2023. | Journal Article
2022
Interep: An R Package for High-Dimensional Interaction Analysis of the Repeated Measurement Data
Zhou, FeiRen, JieLiu, YuwenLi, XiaoxiWang, WeiqunWu, Cen and Wu, Cen
Genes, vol. 13, (no. 3), 2022. | Journal Article
 
Robust bayesian variable selection for gene-environment interactions.
Ren, JieZhou, FeiLi, XiaoxiMa, ShuanggeJiang, Yu and Wu, Cen
Biometrics, April 8, 2022. | Journal Article
 
Sparse group variable selection for gene-environment interactions in the longitudinal study.
Zhou, FeiLu, XiRen, JieFan, KunMa, 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 MQuist, Kevin MQuist, Kevin MSolorzano, IsaiahSolorzano, IsaiahSolorzano, IsaiahWendel, Sebastian OWendel, Sebastian OWendel, Sebastian OChintala, SreenivasuluChintala, SreenivasuluChintala, SreenivasuluWu, CenWu, CenWu, CenWallace, Nicholas AWallace, Nicholas AWallace, Nicholas AKatzenellenbogen, Rachel AKatzenellenbogen, Rachel AKatzenellenbogen, Rachel AKatzenellenbogen, Rachel A and Katzenellenbogen, Rachel A
Cancers, vol. 13, (no. 24), December 8, 2021. | Journal Article
 
Gene-Environment Interaction: A Variable Selection Perspective.
Zhou, FeiRen, JieLu, XiMa, 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, XiFan, KunRen, Jie and Wu, Cen
Frontiers in genetics, vol. 12, pp. 667074, 2021. | Journal Article
 
Integrating Multi-Omics Data for Gene-Environment Interactions.
Du, YinhaoFan, KunLu, 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 traits
Li, GengxinLi, GengxinHou, LinHou, LinLiu, XiaoyuLiu, XiaoyuWu, Cen and Wu, Cen
Statistical Applications in Genetics and Molecular Biology, vol. 19, (no. 3), 2020. | Journal Article
 
Prediction of RECRUITment In randomized clinical Trials (RECRUIT-IT)-rationale and design for an international collaborative study.
Kasenda, BenjaminKasenda, BenjaminKasenda, BenjaminLiu, JunhaoLiu, JunhaoLiu, JunhaoJiang, YuJiang, YuJiang, YuGajewski, ByronGajewski, ByronGajewski, ByronWu, CenWu, CenWu, Cenvon Elm, Erikvon Elm, Erikvon Elm, ErikSchandelmaier, StefanSchandelmaier, StefanSchandelmaier, StefanMoffa, GiusiMoffa, GiusiMoffa, GiusiTrelle, SvenTrelle, SvenTrelle, SvenSchmitt, Andreas MichaelSchmitt, Andreas MichaelSchmitt, Andreas MichaelHerbrand, Amanda KHerbrand, Amanda KHerbrand, Amanda KGloy, ViktoriaGloy, ViktoriaGloy, ViktoriaSpeich, BenjaminSpeich, BenjaminSpeich, BenjaminHopewell, SallyHopewell, SallyHopewell, SallyHemkens, Lars GHemkens, Lars GHemkens, Lars GSluka, ConstantinSluka, ConstantinSluka, ConstantinMcGill, KrisMcGill, KrisMcGill, KrisMeade, MaureenMeade, MaureenMeade, MaureenCook, DeborahCook, DeborahCook, DeborahLamontagne, FrancoisLamontagne, FrancoisLamontagne, FrancoisTréluyer, Jean-MarcTréluyer, Jean-MarcTréluyer, Jean-MarcHaidich, Anna-BettinaHaidich, Anna-BettinaHaidich, Anna-BettinaIoannidis, John P AIoannidis, John P AIoannidis, John P ATreweek, ShaunTreweek, ShaunTreweek, ShaunBriel, MatthiasBriel, Matthias and Briel, Matthias
Trials, vol. 21, (no. 1), pp. 731, August 21, 2020. | Journal Article
2019
A Selective Review of Multi-Level Omics Data Integration Using Variable Selection
Wu, CenZhou, FeiRen, JieLi, XiaoxiJiang, 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, FeiZhou, FeiZhou, FeiRen, JieRen, JieRen, JieLi, GengxinLi, GengxinLi, GengxinJiang, YuJiang, YuJiang, YuLi, XiaoxiLi, XiaoxiLi, XiaoxiWang, WeiqunWang, WeiqunWang, WeiqunWu, CenWu, Cen and Wu, Cen
Genes, vol. 10, (no. 12), December 3, 2019. | Journal Article
 
Robust network-based regularization and variable selection for high-dimensional genomic data in cancer prognosis.
Ren, JieRen, JieDu, YinhaoDu, YinhaoLi, ShaoyuLi, ShaoyuMa, ShuanggeMa, ShuanggeJiang, YuJiang, YuWu, Cen and Wu, Cen
Genetic epidemiology, February 11, 2019. | Journal Article
 
Semiparametric Bayesian variable selection for gene-environment interactions.
Ren, JieZhou, FeiLi, XiaoxiChen, QiZhang, HongmeiMa, ShuanggeJiang, Yu and Wu, Cen
Statistics in medicine, December 21, 2019. | Journal Article
2018
Additive varying-coefficient model for nonlinear gene-environment interactions
Wu, CenWu, CenCui, Yuehua and Cui, Yuehua
Statistical Applications in Genetics and Molecular Biology, vol. 17, (no. 2), pp. 727-750, 2018. | Journal Article
 
Robust network-based analysis of the associations between (epi)genetic measurements.
Wu, CenZhang, QingzhaoJiang, 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, CenJiang, YuRen, JieCui, 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, YuJiang, YuHuang, YuanHuang, YuanDu, YinhaoDu, YinhaoZhao, YinjunZhao, YinjunRen, JieRen, JieMa, ShuanggeMa, ShuanggeWu, Cen and Wu, Cen
Cancer informatics, vol. 16, pp. 1176935116684825, 2017. | Journal Article
 
Network-based regularization for high dimensional SNP data in the case-control study of Type 2 diabetes.
Ren, JieHe, TaoLi, YeLiu, SaiDu, YinhaoJiang, 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, CenShi, XingjieCui, 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, MichaelKong, YongBacchiocchi, AntonellaEvans, PerryPornputtapong, NatapolWu, CenMcCusker, James PMa, ShuanggeCheng, ElaineStraub, RobertSerin, MerdanBosenberg, MarcusAriyan, StephanNarayan, DeepakSznol, MarioKluger, Harriet MMane, ShrikantSchlessinger, JosephLifton, Richard P and Halaban, Ruth
Nature genetics, vol. 47, (no. 9), pp. 996-1002, September 2015. | Journal Article
2014
A powerful statistical method identifies novel loci associated with diastolic blood pressure triggered by nonlinear gene-environment interaction
Wang, HonglangHe, TaoWu, CenZhong, Ping-Shou and Cui, Yuehua
BMC Proceedings, vol. 8, 2014. | Journal Article
 
Integrative analysis of gene-environment interactions under a multi-response partially linear varying coefficient model.
Wu, CenCui, Yuehua and Ma, Shuangge
Statistics in medicine, vol. 33, (no. 28), pp. 4988-4998, December 10, 2014. | Journal Article
2013
A novel method for identifying nonlinear gene-environment interactions in case-control association studies.
Wu, CenWu, CenCui, Yuehua and Cui, Yuehua
Human genetics, vol. 132, (no. 12), pp. 1413-25, 2013/Dec. | Journal Article