assignPOP 1.1.2

Population Assignment using Genetic, Non-Genetic or Integrated Data in a Machine Learning Framework

This package cannot yet be used with Renjin it depends on other packages which are not available: stringr 1.2.0, doParallel 1.0.10, ggplot2 2.2.1, e1071 1.6-8, and caret 6.0-76


stringr 1.2.0 caret 6.0-76 e1071 1.6-8 ggplot2 2.2.1 doParallel 1.0.10 tree 1.0-37 MASS 7.3-47 randomForest 4.6-12 foreach 1.4.3 reshape2 1.4.2

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.



View GitHub Mirror

Release History