Extending Approximate Bayesian Computation with Supervised Machine Learning to Infer Demographic History from Genetic Polymorphisms Using DIYABC Random Forest
MOLECULAR ECOLOGY RESOURCES（2021）
Key words
approximate Bayesian computation,demographic history,model or scenario selection,parameter estimation,pool‐,sequencing,population genetics,random forest,SNP,supervised machine learning
AI Read Science
Must-Reading Tree
Example
Generate MRT to find the research sequence of this paper
Chat Paper
Summary is being generated by the instructions you defined