Predicting the Landscape of Recombination Using Deep Learning
Predicting the Landscape of Recombination Using Deep Learning
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United States: Oxford University Press
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English
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United States: Oxford University Press
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Accurately inferring the genome-wide landscape of recombination rates in natural populations is a central aim in genomics, as patterns of linkage influence everything from genetic mapping to understanding evolutionary history. Here, we describe recombination landscape estimation using recurrent neural networks (ReLERNN), a deep learning method for...
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Predicting the Landscape of Recombination Using Deep Learning
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TN_cdi_proquest_journals_3171297676
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_3171297676
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ISSN
0737-4038
E-ISSN
1537-1719
DOI
10.1093/molbev/msaa038