SpNMF: Supervised NMF
Non-negative Matrix Factorization(NMF) is a powerful tool for identifying the key features of microbial communities and a dimension-reduction method. When we are interested in the differences between the structures of two groups of communities, supervised NMF(Yun Cai, Hong Gu and Tobby Kenney (2017),<doi:10.1186/s40168-017-0323-1>) provides a better way to do this, while retaining all the advantages of NMF – such as interpretability, and being based on a simple biological intuition.
| Version: |
0.1.1 |
| Depends: |
R (≥ 3.2.3) |
| Imports: |
NMF, stats |
| Published: |
2018-10-03 |
| DOI: |
10.32614/CRAN.package.SpNMF |
| Author: |
Yun Cai [aut, cre],
Hong Gu [aut],
Toby Kenney [aut] |
| Maintainer: |
Yun Cai <Yun.Cai at dal.ca> |
| License: |
GPL-3 |
| NeedsCompilation: |
no |
| CRAN checks: |
SpNMF results |
Documentation:
Downloads:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=SpNMF
to link to this page.