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 |
| 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 |
| Reference manual: | SpNMF.pdf |
| Package source: | SpNMF_0.1.1.tar.gz |
| Windows binaries: | r-devel: SpNMF_0.1.1.zip, r-release: SpNMF_0.1.1.zip, r-oldrel: SpNMF_0.1.1.zip |
| macOS binaries: | r-release: SpNMF_0.1.1.tgz, r-oldrel: SpNMF_0.1.1.tgz |
| Old sources: | SpNMF archive |
Please use the canonical form https://CRAN.R-project.org/package=SpNMF to link to this page.