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On convolutional neural networks for selection inference: revealing the lurking role of preprocessing, and the surprising effectiveness of summary statistics

2023-02-27

Abstract excerpt

A central challenge in population genetics is the detection of genomic footprints of selection. As machine learning tools including convolutional neural networks (CNNs) have become more sophisticated and applied more broadly, these provide a logical next step for increasing our power to learn and detect such patterns; indeed, CNNs trained on simulated genome sequences have recently been shown to be highly effectiv...

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Literature Corpus work: 65b0b54b-4e30-54af-947f-9ac898ec8798
DOI: 10.1101/2023.02.26.530156

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