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Mengyun Wu

Showing results (1-10 of 85) with videos related to

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Statistics in Medicine|July 31, 2019
Robust semiparametric gene-environment interaction analysis using sparse boostingMengyun Wu, Shuangge Ma
Briefings in Bioinformatics|June 14, 2018
Robust genetic interaction analysisMengyun Wu, Shuangge Ma
Bioinformatics (Oxford, England)|May 7, 2021
GEInter: an R package for robust gene-environment interaction analysisMengyun Wu, Xing Qin, Shuangge Ma
Statistics in Medicine|October 17, 2017
Identifying gene-gene interactions using penalized tensor regressionMengyun Wu, Jian Huang, Shuangge Ma
Cancers|March 16, 2019
Examination of Independent Prognostic Power of Gene Expressions and Histopathological Imaging Features in CancerTingyan Zhong, Mengyun Wu, Shuangge Ma
Frontiers in Pharmacology|March 10, 2025
Astragalus-containing Chinese herbal medicine used with Western medicine for lupus nephritis: a systematic review and meta-analysis of randomized controlled trialsJinjiao Li, Mengyun Wu, Weiwei Liu
Genes|August 14, 2019
Integrative Analysis of Cancer Omics Data for Prognosis ModelingShuaichao Wang, Mengyun Wu, Shuangge Ma
Briefings in Bioinformatics|January 18, 2022
Analysis of cancer omics data: a selective review of statistical techniquesChenjin Ma, Mengyun Wu, Shuangge Ma
Biometrics|July 2, 2021
Multidimensional molecular measurements-environment interaction analysis for disease outcomesYaqing Xu, Mengyun Wu, Shuangge Ma
Statistics in Medicine|September 20, 2021
Gene-gene interaction analysis incorporating network information via a structured Bayesian approachXing Qin, Shuangge Ma, Mengyun Wu
Pageof 9

Showing results (1-10 of 85) with videos related to

Sort By:
Pageof 9
Statistics in Medicine|July 31, 2019
Robust semiparametric gene-environment interaction analysis using sparse boostingMengyun Wu, Shuangge Ma
Briefings in Bioinformatics|June 14, 2018
Robust genetic interaction analysisMengyun Wu, Shuangge Ma
Bioinformatics (Oxford, England)|May 7, 2021
GEInter: an R package for robust gene-environment interaction analysisMengyun Wu, Xing Qin, Shuangge Ma
Statistics in Medicine|October 17, 2017
Identifying gene-gene interactions using penalized tensor regressionMengyun Wu, Jian Huang, Shuangge Ma
Cancers|March 16, 2019
Examination of Independent Prognostic Power of Gene Expressions and Histopathological Imaging Features in CancerTingyan Zhong, Mengyun Wu, Shuangge Ma
Frontiers in Pharmacology|March 10, 2025
Astragalus-containing Chinese herbal medicine used with Western medicine for lupus nephritis: a systematic review and meta-analysis of randomized controlled trialsJinjiao Li, Mengyun Wu, Weiwei Liu
Genes|August 14, 2019
Integrative Analysis of Cancer Omics Data for Prognosis ModelingShuaichao Wang, Mengyun Wu, Shuangge Ma
Briefings in Bioinformatics|January 18, 2022
Analysis of cancer omics data: a selective review of statistical techniquesChenjin Ma, Mengyun Wu, Shuangge Ma
Biometrics|July 2, 2021
Multidimensional molecular measurements-environment interaction analysis for disease outcomesYaqing Xu, Mengyun Wu, Shuangge Ma
Statistics in Medicine|September 20, 2021
Gene-gene interaction analysis incorporating network information via a structured Bayesian approachXing Qin, Shuangge Ma, Mengyun Wu
Pageof 9