assignPOP 1.1.1

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

Released Dec 29, 2016 by Kuan-Yu Alex Chen

This package cannot yet be used with Renjin it depends on other packages which are not available: caret 6.0-73


caret 6.0-73 MASS 7.3-45 reshape2 1.4.2 e1071 1.6-7 doParallel 1.0.10 ggplot2 2.2.0 randomForest 4.6-12 foreach 1.4.3 tree 1.0-37 stringr 1.0.0

Perform population assignment using a machine learning framework. It employs supervised machine learning methods to evaluate the discriminatory power of your known data set, and is capable of analyzing large genetic, non-genetic, or integrated (genetic plus non-genetic) data sets. This framework is also designed for solving the upwardly biased issue that was discussed in previous studies.



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