This is the development version of SUITOR; for the stable release version, see SUITOR.
Selecting the number of mutational signatures through cross-validationBioconductor version: Development (3.22)
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, entercitation("SUITOR")): Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
# The following initializes usage of Bioc devel
BiocManager::install(version='devel')
BiocManager::install("SUITOR")
For older versions of R, please refer to the appropriate Bioconductor release.
DocumentationTo view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("SUITOR")Follow Installation instructions to use this package in your R session.
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