Article

Deciphering signatures of natural selection via deep learning

2021-05-28

Abstract excerpt

Identifying genomic regions influenced by natural selection provides fundamental insights into the genetic basis of local adaptation. We propose a deep learning-based framework, DeepGenomeScan, that can detect signatures of local adaptation. We demonstrate that DeepGenomeScan outperformed PCA and RDA-based genome scans in identifying loci underlying quantitative traits subject to complex spatial patterns of select...

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Literature Corpus work: a3ae8473-09ca-5385-a154-ea14fe09252f
DOI: 10.1101/2021.05.27.445973

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