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

This package cannot yet be used with Renjin it depends on other packages which are not available: caret 6.0-84


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.



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