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Michael C Wu

Showing results (31-40 of 129) with videos related to

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Genetic Epidemiology|December 27, 2016
A small-sample multivariate kernel machine test for microbiome association studiesXiang Zhan, Xingwei Tong, Ni Zhao, et al.
Genetic Epidemiology|July 10, 2013
The value of statistical or bioinformatics annotation for rare variant association with quantitative traitAndrea E Byrnes, Michael C Wu, Fred A Wright, et al.
Microbiota in Health and Disease|July 29, 2024
The prevalence and risk factors of <i>Helicobacter pylori</i> infection and <i>cagA</i> virulence gene carriage in adults in the Navajo NationDornell Pete, Nina R Salama, Johanna W Lampe, et al.
Microbiome|February 10, 2017
MiRKAT-S: a community-level test of association between the microbiota and survival timesAnna Plantinga, Xiang Zhan, Ni Zhao, et al.
Frontiers in Genetics|December 2, 2024
Enhanced visualization of microbiome data in repeated measures designsAmarise Little, Rebecca A Deek, Angela Zhang, et al.
Journal of Proteome Research|January 5, 2008
Biomarker discovery for arsenic exposure using functional data. Analysis and feature learning of mass spectrometry proteomic dataJaroslaw Harezlak, Michael C Wu, Mike Wang, et al.
BMC Bioinformatics|April 28, 2022
TCR-L: an analysis tool for evaluating the association between the T-cell receptor repertoire and clinical phenotypesMeiling Liu, Juna Goo, Yang Liu, et al.
Biometrics|August 1, 2015
Test for rare variants by environment interactions in sequencing association studiesXinyi Lin, Seunggeun Lee, Michael C Wu, et al.
Clinical Trials (London, England)|March 18, 2025
Design considerations for randomized comparisons of neoadjuvant-adjuvant versus adjuvant-only cancer immunotherapy when tumor measurement schedules do not align (SWOG S1801)Megan Othus, Elad Sharon, Michael C Wu, et al.
Statistics and Its Interface|January 8, 2016
Rare variant testing across methods and thresholds using the multi-kernel sequence kernel association test (MK-SKAT)Eugene Urrutia, Seunggeun Lee, Arnab Maity, et al.
Pageof 13

Showing results (31-40 of 129) with videos related to

Sort By:
Pageof 13
Genetic Epidemiology|December 27, 2016
A small-sample multivariate kernel machine test for microbiome association studiesXiang Zhan, Xingwei Tong, Ni Zhao, et al.
Genetic Epidemiology|July 10, 2013
The value of statistical or bioinformatics annotation for rare variant association with quantitative traitAndrea E Byrnes, Michael C Wu, Fred A Wright, et al.
Microbiota in Health and Disease|July 29, 2024
The prevalence and risk factors of <i>Helicobacter pylori</i> infection and <i>cagA</i> virulence gene carriage in adults in the Navajo NationDornell Pete, Nina R Salama, Johanna W Lampe, et al.
Microbiome|February 10, 2017
MiRKAT-S: a community-level test of association between the microbiota and survival timesAnna Plantinga, Xiang Zhan, Ni Zhao, et al.
Frontiers in Genetics|December 2, 2024
Enhanced visualization of microbiome data in repeated measures designsAmarise Little, Rebecca A Deek, Angela Zhang, et al.
Journal of Proteome Research|January 5, 2008
Biomarker discovery for arsenic exposure using functional data. Analysis and feature learning of mass spectrometry proteomic dataJaroslaw Harezlak, Michael C Wu, Mike Wang, et al.
BMC Bioinformatics|April 28, 2022
TCR-L: an analysis tool for evaluating the association between the T-cell receptor repertoire and clinical phenotypesMeiling Liu, Juna Goo, Yang Liu, et al.
Biometrics|August 1, 2015
Test for rare variants by environment interactions in sequencing association studiesXinyi Lin, Seunggeun Lee, Michael C Wu, et al.
Clinical Trials (London, England)|March 18, 2025
Design considerations for randomized comparisons of neoadjuvant-adjuvant versus adjuvant-only cancer immunotherapy when tumor measurement schedules do not align (SWOG S1801)Megan Othus, Elad Sharon, Michael C Wu, et al.
Statistics and Its Interface|January 8, 2016
Rare variant testing across methods and thresholds using the multi-kernel sequence kernel association test (MK-SKAT)Eugene Urrutia, Seunggeun Lee, Arnab Maity, et al.
Pageof 13