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


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 (arm64): SpNMF_0.1.1.tgz, r-oldrel (arm64): SpNMF_0.1.1.tgz, r-release (x86_64): SpNMF_0.1.1.tgz, r-oldrel (x86_64): SpNMF_0.1.1.tgz
Old sources: SpNMF archive


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