Bioconductor version: Release (3.17)
An unsupervised cross-validation method to select the optimal number of mutational signatures. A data set of mutational counts is split into training and validation data.Signatures are estimated in the training data and then used to predict the mutations in the validation data.
Author: DongHyuk Lee [aut], Bin Zhu [aut], Bill Wheeler [cre]
Maintainer: Bill Wheeler <wheelerb at imsweb.com>
Citation (from within R,
enter citation("SUITOR")
):
To install this package, start R (version "4.3") and enter:
if (!require("BiocManager", quietly = TRUE)) install.packages("BiocManager") BiocManager::install("SUITOR")
For older versions of R, please refer to the appropriate Bioconductor release.
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browseVignettes("SUITOR")
R Script | SUITOR: selecting the number of mutational signatures | |
Reference Manual | ||
Text | NEWS |
biocViews | Genetics, Software, SomaticMutation |
Version | 1.2.0 |
In Bioconductor since | BioC 3.16 (R-4.2) (1 year) |
License | GPL-2 |
Depends | R (>= 4.2.0) |
Imports | stats, utils, graphics, ggplot2, BiocParallel |
LinkingTo | |
Suggests | devtools, MutationalPatterns, RUnit, BiocManager, BiocGenerics, BiocStyle, knitr, rmarkdown |
SystemRequirements | |
Enhances | |
URL | |
BugReports | https://github.com/wheelerb/SUITOR/issues |
Depends On Me | |
Imports Me | |
Suggests Me | |
Links To Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Source Package | SUITOR_1.2.0.tar.gz |
Windows Binary | SUITOR_1.2.0.zip |
macOS Binary (x86_64) | SUITOR_1.2.0.tgz |
macOS Binary (arm64) | SUITOR_1.2.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/SUITOR |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/SUITOR |
Bioc Package Browser | https://code.bioconductor.org/browse/SUITOR/ |
Package Short Url | https://bioconductor.org/packages/SUITOR/ |
Package Downloads Report | Download Stats |
Old Source Packages for BioC 3.17 | Source Archive |
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