Article

Predicting Geographic Location from Genetic Variation with Deep Neural Networks

2019-12-12

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. I...

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Literature Corpus work: a458253a-7804-5c7f-adfe-fcdb764d66f1
DOI: 10.1101/2019.12.11.872051

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