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Efficient detection and characterization of targets of natural selection using transfer learning

2025-03-07

Abstract excerpt

Natural selection leaves detectable patterns of altered spatial diversity within genomes, and identifying affected regions is crucial for understanding species evolution. Recently, machine learning approaches applied to raw population genomic data have been developed to uncover these adaptive signatures. Convolutional neural networks (CNNs) are particularly effective for this task, as they handle large data arrays...

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Literature Corpus work
91bfc3c2-66fb-5712-a60d-7f0272d9be22
DOI
10.1101/2025.03.05.641710
Open publication

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Efficient detection and characterization of targets of natural selection using transfer learningDOI 10.1101/2025.03.05.641710
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