CRAN
assignPOP 1.1.6
Population Assignment using Genetic, Non-Genetic or Integrated Data in a Machine Learning Framework
Released Jun 9, 2019 by Kuan-Yu (Alex) Chen
Dependencies
caret 6.0-84 ggplot2 3.2.0 MASS 7.3-51.4 foreach 1.4.4 stringr 1.4.0 randomForest 4.6-14 e1071 1.7-2 doParallel 1.0.14 reshape2 1.4.3 tree 1.0-40
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.