assignPOP 1.1.4

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

Released Mar 13, 2018 by Kuan-Yu (Alex) Chen

This package cannot yet be used with Renjin it depends on other packages which are not available: ggplot2 2.2.1 and caret 6.0-79


caret 6.0-79 ggplot2 2.2.1 doParallel 1.0.11 randomForest 4.6-14 reshape2 1.4.3 MASS 7.3-49 e1071 1.6-8 tree 1.0-39 foreach 1.4.4 stringr 1.3.0

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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