assignPOP - Population Assignment using Genetic, Non-Genetic or Integrated Data in a Machine Learning Framework
Use Monte-Carlo and K-fold cross-validation coupled with machine- learning classification algorithms to perform population assignment, with functionalities of evaluating discriminatory power of independent training samples, identifying informative loci, reducing data dimensionality for genomic data, integrating genetic and non-genetic data, and visualizing results.
Last updated 1 years ago
cross-validationdata-integrationgbsmachine-learningpopulation-assignmentpopulation-genomicsradseq
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