Genome-wide scans for selective sweeps using convolutional neural networks.
Journal:
Bioinformatics (Oxford, England)
Published Date:
Jun 30, 2023
Abstract
MOTIVATION: Recent methods for selective sweep detection cast the problem as a classification task and use summary statistics as features to capture region characteristics that are indicative of a selective sweep, thereby being sensitive to confounding factors. Furthermore, they are not designed to perform whole-genome scans or to estimate the extent of the genomic region that was affected by positive selection; both are required for identifying candidate genes and the time and strength of selection.