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Detecting adaptive introgression in human evolution using convolutional neural networks
View ORCID ProfileGraham Gower, View ORCID ProfilePablo Iáñez Picazo, View ORCID ProfileMatteo Fumagalli, View ORCID ProfileFernando Racimo
doi: https://doi.org/10.1101/2020.09.18.301069
Graham Gower
1Lundbeck GeoGenetics Centre, GLOBE Institute, Faculty of Health and Medical Sciences, University of Copenhagen, Denmark
Pablo Iáñez Picazo
1Lundbeck GeoGenetics Centre, GLOBE Institute, Faculty of Health and Medical Sciences, University of Copenhagen, Denmark
Matteo Fumagalli
2Department of Life Sciences, Silwood Park campus, Imperial College London, United Kingdom
Fernando Racimo
1Lundbeck GeoGenetics Centre, GLOBE Institute, Faculty of Health and Medical Sciences, University of Copenhagen, Denmark
Posted September 18, 2020.
Detecting adaptive introgression in human evolution using convolutional neural networks
Graham Gower, Pablo Iáñez Picazo, Matteo Fumagalli, Fernando Racimo
bioRxiv 2020.09.18.301069; doi: https://doi.org/10.1101/2020.09.18.301069
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