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 version has not yet been built and tested against Renjin. Please allow a few days for the package to be built.

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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