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Jason H Moore

Showing results (281-290 of 531) with videos related to

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Plos One|March 14, 2015
SPARCoC: a new framework for molecular pattern discovery and cancer gene identificationShiqian Ma, Daniel Johnson, Cody Ashby, et al.
BMC Bioinformatics|September 14, 2011
Characterizing genetic interactions in human disease association studies using statistical epistasis networksTing Hu, Nicholas A Sinnott-Armstrong, Jeff W Kiralis, et al.
Journal of the American College of Surgeons|May 30, 2009
Genetic variation in the autonomic nervous system affects mortality: a study of 1,095 trauma patientsJohn A Morris, Patrick R Norris, Jason H Moore, et al.
Environmental Health Perspectives|April 17, 2008
Drinking-water arsenic exposure modulates gene expression in human lymphocytes from a U.S. populationAngeline S Andrew, David A Jewell, Rebecca A Mason, et al.
Journal of the American Medical Informatics Association : JAMIA|November 14, 2019
A maximum likelihood approach to electronic health record phenotyping using positive and unlabeled patientsLingjiao Zhang, Xiruo Ding, Yanyuan Ma, et al.
Science (New York, N.Y.)|July 3, 2007
Problems with genome-wide association studiesScott M Williams, Jeffrey A Canter, Dana C Crawford, et al.
Genes|September 23, 2022
Mining High-Level Imaging Genetic Associations via Clustering AD Candidate Variants with Similar Brain Association PatternsRuiming Wu, Jingxuan Bao, Mansu Kim, et al.
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|December 13, 2024
Biologically Enhanced Machine Learning Model to uncover Novel Gene-Drug Targets for Alzheimer's DiseaseAlena Orlenko, Mythreye Venkatesan, Li Shen, et al.
Journal of Theoretical Biology|February 7, 2006
A flexible computational framework for detecting, characterizing, and interpreting statistical patterns of epistasis in genetic studies of human disease susceptibilityJason H Moore, Joshua C Gilbert, Chia-Ti Tsai, et al.
Oncotarget|July 14, 2016
Meta-dimensional data integration identifies critical pathways for susceptibility, tumorigenesis and progression of endometrial cancerRunmin Wei, Immaculata De Vivo, Sijia Huang, et al.
Pageof 54

Showing results (281-290 of 531) with videos related to

Sort By:
Pageof 54
Plos One|March 14, 2015
SPARCoC: a new framework for molecular pattern discovery and cancer gene identificationShiqian Ma, Daniel Johnson, Cody Ashby, et al.
BMC Bioinformatics|September 14, 2011
Characterizing genetic interactions in human disease association studies using statistical epistasis networksTing Hu, Nicholas A Sinnott-Armstrong, Jeff W Kiralis, et al.
Journal of the American College of Surgeons|May 30, 2009
Genetic variation in the autonomic nervous system affects mortality: a study of 1,095 trauma patientsJohn A Morris, Patrick R Norris, Jason H Moore, et al.
Environmental Health Perspectives|April 17, 2008
Drinking-water arsenic exposure modulates gene expression in human lymphocytes from a U.S. populationAngeline S Andrew, David A Jewell, Rebecca A Mason, et al.
Journal of the American Medical Informatics Association : JAMIA|November 14, 2019
A maximum likelihood approach to electronic health record phenotyping using positive and unlabeled patientsLingjiao Zhang, Xiruo Ding, Yanyuan Ma, et al.
Science (New York, N.Y.)|July 3, 2007
Problems with genome-wide association studiesScott M Williams, Jeffrey A Canter, Dana C Crawford, et al.
Genes|September 23, 2022
Mining High-Level Imaging Genetic Associations via Clustering AD Candidate Variants with Similar Brain Association PatternsRuiming Wu, Jingxuan Bao, Mansu Kim, et al.
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|December 13, 2024
Biologically Enhanced Machine Learning Model to uncover Novel Gene-Drug Targets for Alzheimer's DiseaseAlena Orlenko, Mythreye Venkatesan, Li Shen, et al.
Journal of Theoretical Biology|February 7, 2006
A flexible computational framework for detecting, characterizing, and interpreting statistical patterns of epistasis in genetic studies of human disease susceptibilityJason H Moore, Joshua C Gilbert, Chia-Ti Tsai, et al.
Oncotarget|July 14, 2016
Meta-dimensional data integration identifies critical pathways for susceptibility, tumorigenesis and progression of endometrial cancerRunmin Wei, Immaculata De Vivo, Sijia Huang, et al.
Pageof 54