Enhancing Detection of Polygenic Adaptation: A Comparative Study of Machine Learning and Statistical Approaches Using Simulated Evolve-and-Resequence Data
Cosima Caliendo, Susanne Gerber, Markus Pfenninger
This study compares machine learning and statistical methods for detecting polygenic adaptation using simulated evolve-and-resequence data, finding that the OCSVM-FET approach performs best.
BMC Genomics · Sep 7, 2026Peer-reviewedGenetics