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Implements a set of routines to perform structured matrix factorization with minimum volume constraints. The NMF procedure decomposes a matrix X into a product C * D. Given conditions such that the matrix C is non-negative and has sufficiently spread columns, then volume minimization of a matrix D delivers a correct and unique, up to a scale and permutation, solution (C, D). This package provides both an implementation of volume-regularized NMF and "anchor-free" NMF, whereby the standard NMF problem is reformulated in the covariance domain. This algorithm was applied in Vladimir B. Seplyarskiy Ruslan A. Soldatov, et al. "Population sequencing data reveal a compendium of mutational processes in the human germ line". Science, 12 Aug 2021. <doi:10.1126/science.aba7408>. This package interacts with data available through the 'simulatedNMF' package, which is available in a 'drat' repository. To access this data package, see the instructions at <https://github.com/kharchenkolab/vrnmf>. The size of the 'simulatedNMF' package is approximately 8 MB.
Version: | 1.0.2 |
Depends: | R (≥ 3.5.1) |
Imports: | graphics, ica (≥ 1.0), lpSolveAPI (≥ 5.5.2.0), Matrix, nnls, parallel (≥ 3.5.1), quadprog (≥ 1.5), stats |
Suggests: | knitr (≥ 1.28), rmarkdown (≥ 2.1), testthat |
Published: | 2022-02-25 |
DOI: | 10.32614/CRAN.package.vrnmf |
Author: | Ruslan Soldatov [aut], Peter Kharchenko [aut], Viktor Petukhov [aut], Evan Biederstedt [cre, aut] |
Maintainer: | Evan Biederstedt <evan.biederstedt at gmail.com> |
BugReports: | https://github.com/kharchenkolab/vrnmf/issues |
License: | GPL-3 |
URL: | https://github.com/kharchenkolab/vrnmf |
NeedsCompilation: | no |
Materials: | README |
CRAN checks: | vrnmf results |
Reference manual: | vrnmf.pdf |
Package source: | vrnmf_1.0.2.tar.gz |
Windows binaries: | r-devel: vrnmf_1.0.2.zip, r-release: vrnmf_1.0.2.zip, r-oldrel: vrnmf_1.0.2.zip |
macOS binaries: | r-release (arm64): vrnmf_1.0.2.tgz, r-oldrel (arm64): vrnmf_1.0.2.tgz, r-release (x86_64): vrnmf_1.0.2.tgz, r-oldrel (x86_64): vrnmf_1.0.2.tgz |
Old sources: | vrnmf archive |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.