Nothing
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.
Getting started
Browse package contents
Package details |
|
|---|---|
| Author | Kuan-Yu (Alex) Chen [aut, cre], Elizabeth A. Marschall [aut], Michael G. Sovic [aut], Anthony C. Fries [aut], H. Lisle Gibbs [aut], Stuart A. Ludsin [aut] |
| Maintainer | Kuan-Yu (Alex) Chen <alexkychen@gmail.com> |
| License | GPL (>= 2) |
| Version | 1.3.0 |
| URL | https://github.com/alexkychen/assignPOP |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
|
Try the assignPOP package in your browser
Any scripts or data that you put into this service are public.
