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SpNMF  

Supervised NMF
View on CRAN: Click here


Download and install SpNMF package within the R console
Install from CRAN:
install.packages("SpNMF")

Install from Github:
library("remotes")
install_github("cran/SpNMF")

Install by package version:
library("remotes")
install_version("SpNMF", "0.1.1")



Attach the package and use:
library("SpNMF")
Maintained by
Yun Cai
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-10-01
Latest Update: 2018-10-03
Description:
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.
How to cite:
Yun Cai (2018). SpNMF: Supervised NMF. R package version 0.1.1, https://cran.r-project.org/web/packages/SpNMF. Accessed 07 Mar. 2026.
Previous versions and publish date:
0.1.0 (2018-10-01 00:30)
Other packages that cited SpNMF R package
View SpNMF citation profile
Other R packages that SpNMF depends, imports, suggests or enhances
Complete documentation for SpNMF
Functions, R codes and Examples using the SpNMF R package
Some associated functions: chty . getT . spdata . spnmf . 
Some associated R codes: choosing_number_of_types.R . supervised_NMF.R .  Full SpNMF package functions and examples
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