Cancer cells accumulate DNA mutations as result of DNA damage and DNA repair processes. This computational framework is aimed at deciphering DNA mutational signatures operating in cancer. The input is a numeric matrix of DNA mutation counts detected in a panel of cancer samples. The framework performs Non-negative Matrix Factorization to extract the most likely signatures explaining the observed set of DNA mutations. The framework relies on parallelization and is optimized for use on multi-core systems. This framework is an R-based implementation of the original MATLAB WTSI framework by Alexandrov LB et al (2013) <doi:10.1016/j.celrep.2012.12.008>.
| Version: | 1.2 |
| Depends: | R (≥ 3.1.0), doParallel, ggplot2, foreach |
| Imports: | cluster, pracma, proxy |
| Published: | 2017-01-24 |
| Author: | Damiano Fantini, Joshua J Meeks |
| Maintainer: | Damiano Fantini <damiano.fantini at gmail.com> |
| License: | GPL-2 |
| NeedsCompilation: | no |
| CRAN checks: | mutSignatures results |
| Reference manual: | mutSignatures.pdf |
| Package source: | mutSignatures_1.2.tar.gz |
| Windows binaries: | r-devel: mutSignatures_1.2.zip, r-release: mutSignatures_1.2.zip, r-oldrel: mutSignatures_1.2.zip |
| OS X El Capitan binaries: | r-release: mutSignatures_1.2.tgz |
| OS X Mavericks binaries: | r-oldrel: mutSignatures_1.2.tgz |
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