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

This package cannot yet be used with Renjin it depends on other packages which are not available: caret 6.0-78


caret 6.0-78 randomForest 4.6-12 e1071 1.6-8 stringr 1.2.0 doParallel 1.0.11 ggplot2 2.2.1 tree 1.0-37 foreach 1.4.4 reshape2 1.4.3 MASS 7.3-47

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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