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Nathan Tintle

Showing results (11-20 of 94) with videos related to

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Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|November 30, 2016
IDENTIFICATION AND ANALYSIS OF BACTERIAL GENOMIC METABOLIC SIGNATURESNathaniel Bowerman, Nathan Tintle, Matthew Dejongh, et al.
Annals of Human Genetics|April 7, 2009
The cost effectiveness of duplicate genotyping for testing genetic associationNathan Tintle, Derek Gordon, Dirk Van Bruggen, et al.
Fatigue : Biomedicine, Health & Behavior|January 26, 2016
Prolonged fatigue in Ukraine and the United States: Prevalence and risk factorsFred Friedberg, Nathan Tintle, Jake Clark, et al.
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|December 9, 2017
Analyzing metabolomics data for association with genotypes using two-component Gaussian mixture distributionsJason Westra, Nicholas Hartman, Bethany Lake, et al.
Frontiers in Genetics|November 26, 2020
Multi-Set Testing Strategies Show Good Behavior When Applied to Very Large Sets of Rare VariantsRuby Fore, Jaden Boehme, Kevin Li, et al.
The British Journal of Nutrition|October 10, 2022
Estimation and predictors of the Omega-3 Index in the UK BiobankJan Philipp Schuchardt, Nathan Tintle, Jason Westra, et al.
Nutrients|December 9, 2023
Plasma Omega-3 Fatty Acids and Risk for Incident Dementia in the UK Biobank Study: A Closer LookAleix Sala-Vila, Nathan Tintle, Jason Westra, et al.
Genetic Epidemiology|December 1, 2011
Identification of genetic association of multiple rare variants using collapsing methodsYan V Sun, Yun Ju Sung, Nathan Tintle, et al.
BMC Proceedings|December 17, 2016
A general method for combining different family-based rare-variant tests of association to improve power and robustness of a wide range of genetic architecturesAlden Green, Kaitlyn Cook, Kelsey Grinde, et al.
BMC Proceedings|December 17, 2016
A multistep approach to single nucleotide polymorphism-set analysis: an evaluation of power and type I error of gene-based tests of association after pathway-based association testsAlessandra Valcarcel, Kelsey Grinde, Kaitlyn Cook, et al.
Pageof 10

Showing results (11-20 of 94) with videos related to

Sort By:
Pageof 10
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|November 30, 2016
IDENTIFICATION AND ANALYSIS OF BACTERIAL GENOMIC METABOLIC SIGNATURESNathaniel Bowerman, Nathan Tintle, Matthew Dejongh, et al.
Annals of Human Genetics|April 7, 2009
The cost effectiveness of duplicate genotyping for testing genetic associationNathan Tintle, Derek Gordon, Dirk Van Bruggen, et al.
Fatigue : Biomedicine, Health & Behavior|January 26, 2016
Prolonged fatigue in Ukraine and the United States: Prevalence and risk factorsFred Friedberg, Nathan Tintle, Jake Clark, et al.
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|December 9, 2017
Analyzing metabolomics data for association with genotypes using two-component Gaussian mixture distributionsJason Westra, Nicholas Hartman, Bethany Lake, et al.
Frontiers in Genetics|November 26, 2020
Multi-Set Testing Strategies Show Good Behavior When Applied to Very Large Sets of Rare VariantsRuby Fore, Jaden Boehme, Kevin Li, et al.
The British Journal of Nutrition|October 10, 2022
Estimation and predictors of the Omega-3 Index in the UK BiobankJan Philipp Schuchardt, Nathan Tintle, Jason Westra, et al.
Nutrients|December 9, 2023
Plasma Omega-3 Fatty Acids and Risk for Incident Dementia in the UK Biobank Study: A Closer LookAleix Sala-Vila, Nathan Tintle, Jason Westra, et al.
Genetic Epidemiology|December 1, 2011
Identification of genetic association of multiple rare variants using collapsing methodsYan V Sun, Yun Ju Sung, Nathan Tintle, et al.
BMC Proceedings|December 17, 2016
A general method for combining different family-based rare-variant tests of association to improve power and robustness of a wide range of genetic architecturesAlden Green, Kaitlyn Cook, Kelsey Grinde, et al.
BMC Proceedings|December 17, 2016
A multistep approach to single nucleotide polymorphism-set analysis: an evaluation of power and type I error of gene-based tests of association after pathway-based association testsAlessandra Valcarcel, Kelsey Grinde, Kaitlyn Cook, et al.
Pageof 10