Performance evaluation of adaptive introgression classification methods
J. Romieu, G. Camarata, P.-A. Crochet, M. de Navascues, R. Leblois, F. Rousset
This study evaluates adaptive introgression classification methods using simulated datasets from different evolutionary scenarios, finding that Q95-based methods are most efficient for exploratory analysis.
bioRxiv · Jun 12, 2024Evolutionary Biology