Provides a framework to perform Non-negative Matrix Factorization (NMF). The package implements a set of already published algorithms and seeding methods, and provides a framework to test, develop and plug new/custom algorithms. Most of the built-in algorithms have been optimized in C++, and the main interface function provides an easy way of performing parallel computations on multicore machines.
Version: 0.28 Depends: R (≥ 3.0.0), methods, utils, registry, rngtools (≥ 1.2.3), cluster Imports: graphics, stats, stringr (≥ 1.0.0), digest, grid, grDevices, gridBase, colorspace, RColorBrewer, foreach, doParallel, ggplot2, reshape2, Biobase, codetools, BiocManager Suggests: fastICA, doMPI, bigmemory (≥ 4.2), synchronicity (≥ 1.3.2), corpcor, xtable, devtools, knitr, RUnit Published: 2024-08-22 DOI: 10.32614/CRAN.package.NMF Author: Renaud Gaujoux [aut], Cathal Seoighe [aut], Nicolas Sauwen [cre] Maintainer: Nicolas Sauwen <nicolas.sauwen at openanalytics.eu> License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] URL: http://renozao.github.io/NMF/ NeedsCompilation: yes Citation: NMF citation info Materials: README NEWS CRAN checks: NMF results Documentation: Downloads: Reverse dependencies: Reverse depends: fabisearch, funOmics, InterSIM, IntNMF, musicatk, MutationalPatterns, signeR, SomaticSignatures, SparseSignatures Reverse imports: CARDspa, clusterExperiment, DBNMFrank, debCAM, funOmics, hNMF, MetabolSSMF, miRSM, pcaExplorer, projectR, SCdeconR, scITD, shattering, sigminer, SomaticSignatures, SpNMF Reverse suggests: AUCell, cola, crassmat, diceR, dimRed, Evacluster, iTOP, maftools, MAST, mia, mlr3pipelines, scone Reverse enhances: fdm2id Linking:Please use the canonical form https://CRAN.R-project.org/package=NMF to link to this page.
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