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.
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