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Cen Wu

Showing results (31-40 of 71) with videos related to

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Entropy (Basel, Switzerland)|June 26, 2026
MixedBayes: An R Package for Longitudinal Gene-Environment Interaction Analysis Using Robust Sparse Bayesian Mixed ModelsKun Fan, Xiaoxi Li, Shejuty Devnath, et al.
Dysphagia|November 8, 2024
Dysphagia-Specific Instrument Based on Item Response Theory and International Classification of Functioning, Disability and HealthYa-Cen Wu, Yan-Qun Luo, Feng Lin, et al.
Methods in Molecular Biology (Clifton, N.J.)|March 18, 2021
Gene-Environment Interaction: A Variable Selection PerspectiveFei Zhou, Jie Ren, Xi Lu, et al.
Translational Cancer Research|February 4, 2022
Noninvasive circulating tumor cell and urine cellular <i>XPC</i> (rs2228001, A2815C) and <i>XRCC1</i> (rs25487, G1196A) polymorphism detection as an effective screening panel for genitourinary system cancersCen Wu, Cheng Xu, Guaxiu Wang, et al.
BMC Proceedings|December 19, 2014
A powerful statistical method identifies novel loci associated with diastolic blood pressure triggered by nonlinear gene-environment interactionHonglang Wang, Tao He, Cen Wu, et al.
High-Throughput|January 24, 2019
A Selective Review of Multi-Level Omics Data Integration Using Variable SelectionCen Wu, Fei Zhou, Jie Ren, et al.
Carbohydrate Polymers|September 14, 2025
Gellan gum/chitosan-based bilayer scaffold for the targeted delivery of curcumin and green tea, designed to enhance breast cancer treatment paradigmsXiaopeng Yu, Hong Yu, Chuanjia Yang, et al.
Entropy (Basel, Switzerland)|September 27, 2024
Is Seeing Believing? A Practitioner's Perspective on High-Dimensional Statistical Inference in Cancer Genomics StudiesKun Fan, Srijana Subedi, Gongshun Yang, et al.
Genes|March 25, 2022
Interep: An R Package for High-Dimensional Interaction Analysis of the Repeated Measurement DataFei Zhou, Jie Ren, Yuwen Liu, et al.
Biometrics|April 8, 2022
Robust Bayesian variable selection for gene-environment interactionsJie Ren, Fei Zhou, Xiaoxi Li, et al.
Pageof 8

Showing results (31-40 of 71) with videos related to

Sort By:
Pageof 8
Entropy (Basel, Switzerland)|June 26, 2026
MixedBayes: An R Package for Longitudinal Gene-Environment Interaction Analysis Using Robust Sparse Bayesian Mixed ModelsKun Fan, Xiaoxi Li, Shejuty Devnath, et al.
Dysphagia|November 8, 2024
Dysphagia-Specific Instrument Based on Item Response Theory and International Classification of Functioning, Disability and HealthYa-Cen Wu, Yan-Qun Luo, Feng Lin, et al.
Methods in Molecular Biology (Clifton, N.J.)|March 18, 2021
Gene-Environment Interaction: A Variable Selection PerspectiveFei Zhou, Jie Ren, Xi Lu, et al.
Translational Cancer Research|February 4, 2022
Noninvasive circulating tumor cell and urine cellular <i>XPC</i> (rs2228001, A2815C) and <i>XRCC1</i> (rs25487, G1196A) polymorphism detection as an effective screening panel for genitourinary system cancersCen Wu, Cheng Xu, Guaxiu Wang, et al.
BMC Proceedings|December 19, 2014
A powerful statistical method identifies novel loci associated with diastolic blood pressure triggered by nonlinear gene-environment interactionHonglang Wang, Tao He, Cen Wu, et al.
High-Throughput|January 24, 2019
A Selective Review of Multi-Level Omics Data Integration Using Variable SelectionCen Wu, Fei Zhou, Jie Ren, et al.
Carbohydrate Polymers|September 14, 2025
Gellan gum/chitosan-based bilayer scaffold for the targeted delivery of curcumin and green tea, designed to enhance breast cancer treatment paradigmsXiaopeng Yu, Hong Yu, Chuanjia Yang, et al.
Entropy (Basel, Switzerland)|September 27, 2024
Is Seeing Believing? A Practitioner's Perspective on High-Dimensional Statistical Inference in Cancer Genomics StudiesKun Fan, Srijana Subedi, Gongshun Yang, et al.
Genes|March 25, 2022
Interep: An R Package for High-Dimensional Interaction Analysis of the Repeated Measurement DataFei Zhou, Jie Ren, Yuwen Liu, et al.
Biometrics|April 8, 2022
Robust Bayesian variable selection for gene-environment interactionsJie Ren, Fei Zhou, Xiaoxi Li, et al.
Pageof 8