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.

Getting started

Package details

AuthorYun Cai [aut, cre], Hong Gu [aut], Toby Kenney [aut]
MaintainerYun Cai <Yun.Cai@dal.ca>
LicenseGPL-3
Version0.1.1
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("SpNMF")

Try the SpNMF package in your browser

Any scripts or data that you put into this service are public.

SpNMF documentation built on May 2, 2019, 3:33 p.m.