Package: SpNMF 0.1.1

Yun Cai

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.

Authors:Yun Cai [aut, cre], Hong Gu [aut], Toby Kenney [aut]

SpNMF_0.1.1.tar.gz
SpNMF_0.1.1.tar.gz(r-4.5-noble)SpNMF_0.1.1.tar.gz(r-4.4-noble)
SpNMF_0.1.1.tgz(r-4.4-emscripten)SpNMF_0.1.1.tgz(r-4.3-emscripten)
SpNMF.pdf |SpNMF.html
SpNMF/json (API)

# Install 'SpNMF' in R:
install.packages('SpNMF', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

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This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 4 scripts 103 downloads 1 mentions 3 exports 47 dependencies

Last updated 6 years agofrom:f181f1cd83. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKDec 10 2024
R-4.5-linuxOKDec 10 2024

Exports:chtygetTspnmf

Dependencies:BiobaseBiocGenericsBiocManagercliclustercodetoolscolorspacedigestdoParallelfansifarverforeachgenericsggplot2gluegridBasegtableisobanditeratorslabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmeNMFpillarpkgconfigplyrR6RColorBrewerRcppregistryreshape2rlangrngtoolsscalesstringistringrtibbleutf8vctrsviridisLitewithr

Readme and manuals

Help Manual

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