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Automating Mendelian randomization through machine learning to construct a putative causal map of the human phenome
View ORCID ProfileGibran Hemani, View ORCID ProfileJack Bowden, View ORCID ProfilePhilip Haycock, Jie Zheng, Oliver Davis, Peter Flach, View ORCID ProfileTom Gaunt, View ORCID ProfileGeorge Davey Smith
doi: https://doi.org/10.1101/173682
Gibran Hemani
1MRC Integrative Epidemiology Unit (IEU) at the University of Bristol, Population Health Sciences, Bristol, UK
Jack Bowden
1MRC Integrative Epidemiology Unit (IEU) at the University of Bristol, Population Health Sciences, Bristol, UK
Philip Haycock
1MRC Integrative Epidemiology Unit (IEU) at the University of Bristol, Population Health Sciences, Bristol, UK
Jie Zheng
1MRC Integrative Epidemiology Unit (IEU) at the University of Bristol, Population Health Sciences, Bristol, UK
Oliver Davis
1MRC Integrative Epidemiology Unit (IEU) at the University of Bristol, Population Health Sciences, Bristol, UK
Peter Flach
2Intelligent Systems Laboratory, Department of Computer Science, University of Bristol
Tom Gaunt
1MRC Integrative Epidemiology Unit (IEU) at the University of Bristol, Population Health Sciences, Bristol, UK
George Davey Smith
1MRC Integrative Epidemiology Unit (IEU) at the University of Bristol, Population Health Sciences, Bristol, UK
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Posted August 10, 2017.
Automating Mendelian randomization through machine learning to construct a putative causal map of the human phenome
Gibran Hemani, Jack Bowden, Philip Haycock, Jie Zheng, Oliver Davis, Peter Flach, Tom Gaunt, George Davey Smith
bioRxiv 173682; doi: https://doi.org/10.1101/173682
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