Performance evaluation of adaptive introgression classification methods
Jules Romieu, Ghislain Camarata, Pierre‐André Crochet, Miguel Navascués, Raphaël Leblois, François 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.
Peer Community Journal · Sep 10, 2025Peer-reviewedEvolutionary Biology