Extending Approximate Bayesian Computation with Supervised Machine Learning to Infer Demographic History from Genetic Polymorphisms Using DIYABC Random Forest

Francois-David Collin,Ghislain Durif,Louis Raynal,Eric Lombaert,Mathieu Gautier,Renaud Vitalis,Jean-Michel Marin,Arnaud Estoup

MOLECULAR ECOLOGY RESOURCES（2021）

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approximate Bayesian computation,demographic history,model or scenario selection,parameter estimation,pool&#8208,sequencing,population genetics,random forest,SNP,supervised machine learning

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