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William Chad Young

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

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BMC Systems Biology|April 19, 2014
Fast Bayesian inference for gene regulatory networks using ScanBMAWilliam Chad Young, Adrian E Raftery, Ka Yee Yeung
Statistical Modelling|April 7, 2021
Identifying Dynamical Time Series Model Parameters from Equilibrium Samples, with Application to Gene Regulatory NetworksWilliam Chad Young, Ka Yee Yeung, Adrian E Raftery
The Annals of Applied Statistics|February 12, 2019
Model-Based Clustering With Data Correction For Removing Artifacts In Gene Expression DataWilliam Chad Young, Adrian E Raftery, Ka Yee Yeung
Mathematical Biosciences and Engineering : MBE|October 25, 2016
A posterior probability approach for gene regulatory network inference in genetic perturbation dataWilliam Chad Young, Adrian E Raftery, Ka Yee Yeung
Journal of Computational Biology : a Journal of Computational Molecular Cell Biology|April 23, 2019
Integration of Multiple Data Sources for Gene Network Inference Using Genetic Perturbation DataXiao Liang, William Chad Young, Ling-Hong Hung, et al.
Gigascience|October 13, 2017
fastBMA: scalable network inference and transitive reductionLing-Hong Hung, Kaiyuan Shi, Migao Wu, et al.
JCI Insight|November 1, 2019
A composite immune signature parallels disease progression across T1D subjectsCate Speake, Samuel O Skinner, Dror Berel, et al.
Elife|January 21, 2022
Transcriptional correlates of malaria in RTS,S/AS01-vaccinated African children: a matched case-control studyGemma Moncunill, Jason Carnes, William Chad Young, et al.
Frontiers in Big Data|July 2, 2021
Comprehensive Data Integration Approach to Assess Immune Responses and Correlates of RTS,S/AS01-Mediated Protection From Malaria Infection in Controlled Human Malaria Infection TrialsWilliam Chad Young, Lindsay N Carpp, Sidhartha Chaudhury, et al.
The Journal of Clinical Investigation|October 8, 2019
Antibody Fc effector functions and IgG3 associate with decreased HIV-1 riskScott D Neidich, Youyi Fong, Shuying S Li, et al.
Pageof 1

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

Sort By:
Pageof 1
BMC Systems Biology|April 19, 2014
Fast Bayesian inference for gene regulatory networks using ScanBMAWilliam Chad Young, Adrian E Raftery, Ka Yee Yeung
Statistical Modelling|April 7, 2021
Identifying Dynamical Time Series Model Parameters from Equilibrium Samples, with Application to Gene Regulatory NetworksWilliam Chad Young, Ka Yee Yeung, Adrian E Raftery
The Annals of Applied Statistics|February 12, 2019
Model-Based Clustering With Data Correction For Removing Artifacts In Gene Expression DataWilliam Chad Young, Adrian E Raftery, Ka Yee Yeung
Mathematical Biosciences and Engineering : MBE|October 25, 2016
A posterior probability approach for gene regulatory network inference in genetic perturbation dataWilliam Chad Young, Adrian E Raftery, Ka Yee Yeung
Journal of Computational Biology : a Journal of Computational Molecular Cell Biology|April 23, 2019
Integration of Multiple Data Sources for Gene Network Inference Using Genetic Perturbation DataXiao Liang, William Chad Young, Ling-Hong Hung, et al.
Gigascience|October 13, 2017
fastBMA: scalable network inference and transitive reductionLing-Hong Hung, Kaiyuan Shi, Migao Wu, et al.
JCI Insight|November 1, 2019
A composite immune signature parallels disease progression across T1D subjectsCate Speake, Samuel O Skinner, Dror Berel, et al.
Elife|January 21, 2022
Transcriptional correlates of malaria in RTS,S/AS01-vaccinated African children: a matched case-control studyGemma Moncunill, Jason Carnes, William Chad Young, et al.
Frontiers in Big Data|July 2, 2021
Comprehensive Data Integration Approach to Assess Immune Responses and Correlates of RTS,S/AS01-Mediated Protection From Malaria Infection in Controlled Human Malaria Infection TrialsWilliam Chad Young, Lindsay N Carpp, Sidhartha Chaudhury, et al.
The Journal of Clinical Investigation|October 8, 2019
Antibody Fc effector functions and IgG3 associate with decreased HIV-1 riskScott D Neidich, Youyi Fong, Shuying S Li, et al.
Pageof 1