MMD: Minimal Multilocus Distance (MMD) for Source Attribution and
Loci Selection
The aim of the package is two-fold: (i) To implement
the MMD method for attribution of individuals to sources using
the Hamming distance between multilocus genotypes. (ii) To select
informative genetic markers based on information theory concepts
(entropy, mutual information and redundancy). The package implements the
functions introduced by Perez-Reche, F. J., Rotariu, O., Lopes, B. S.,
Forbes, K. J. and Strachan, N. J. C. Mining whole genome sequence data to
efficiently attribute individuals to source populations.
Scientific Reports 10, 12124 (2020) <doi:10.1038/s41598-020-68740-6>.
See more details and examples in the README file.
| Version: |
1.0.0 |
| Imports: |
e1071, plyr, bigmemory |
| Suggests: |
knitr, rmarkdown |
| Published: |
2021-01-26 |
| Author: |
Francisco Perez-Reche [aut, cre] |
| Maintainer: |
Francisco Perez-Reche <fperez-reche at abdn.ac.uk> |
| License: |
GPL-3 |
| NeedsCompilation: |
no |
| CRAN checks: |
MMD results |
Documentation:
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