assignPOP 1.1.3

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

Released Jun 15, 2017 by Kuan-Yu (Alex) Chen [aut, cre], Elizabeth A. Marschall [aut], Michael G. Sovic [aut], Anthony C. Fries [aut], H. Lisle Gibbs [aut], Stuart A. Ludsin [aut]

This package cannot yet be used with Renjin it depends on other packages which are not available: caret 6.0-77


caret 6.0-77 randomForest 4.6-12 doParallel 1.0.11 stringr 1.2.0 ggplot2 2.2.1 MASS 7.3-47 reshape2 1.4.2 e1071 1.6-8 tree 1.0-37 foreach 1.4.3

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.



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