Article
Predicting geographic location from genetic variation with deep neural networks.
eLife - 8 Jun 2020
Battey C J, Ralph Peter L, Kern Andrew D
Abstract excerpt
Most organisms are more closely related to nearby than distant members of their species, creating spatial autocorrelations in genetic data. This allows us to predict the location of origin of a genetic sample by comparing it to a set of samples of known geographic origin. Here, we describe a deep learning method, which we call Locator, to accomplish this task faster and more accurately than existing approaches....
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