SUITOR
Selecting the number of mutational signatures through cross-validation
Bioconductor version: 3.23 · Package version: 1.14.0
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.
Installation
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("SUITOR") Details
| Maintainer | Bill Wheeler <wheelerb@imsweb.com> |
| Author | DongHyuk Lee [aut], Bin Zhu [aut], Bill Wheeler [cre] |
| License | GPL-2 |
| Bug Reports | https://github.com/wheelerb/SUITOR/issues |
| Downloads rank | 192 |
| Source branch | RELEASE_3_23 |
| biocViews | Genetics, Software, SomaticMutation |
Documentation
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Dependencies
Depends: R (>= 4.2.0)
Imports: stats, utils, graphics, ggplot2, BiocParallel
Suggests: devtools, MutationalPatterns, RUnit, BiocManager, BiocGenerics, BiocStyle, knitr, rmarkdown