assignPOP
Population Assignment using Genetic, Non-Genetic or Integrated Data in a Machine Learning Framework
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.
- Version1.3.0
- R versionunknown
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?No
- Last release03/13/2024
Team
Kuan-Yu (Alex) Chen
Elizabeth A. Marschall
Show author detailsRolesAuthorMichael G. Sovic
Show author detailsRolesAuthorAnthony C. Fries
Show author detailsRolesAuthorH. Lisle Gibbs
Show author detailsRolesAuthorStuart A. Ludsin
Show author detailsRolesAuthor
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- Imports11 packages
- Suggests7 packages