| Name : R-vrnmf
| |
| Version : 1.0.2
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.2.7
| Date : 2024-06-14 11:23:44
|
| Group : Development/Libraries/Other
| Source RPM : R-vrnmf-1.0.2-lp153.2.7.src.rpm
|
| Size : 0.09 MB
| |
| Packager : (none)
| |
| Summary : Volume-Regularized Structured Matrix Factorization
|
Description :
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.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
