rvalieris/signeR: Empirical Bayesian approach to mutational signature discovery
The signeR package provides an empirical Bayesian approach to mutational signature discovery. It is designed to analyze single nucleotide variation (SNV) counts in cancer genomes, but can also be applied to other features as well. Functionalities to characterize signatures or genome samples according to exposure patterns are also provided.
Getting started
Browse package contents
Package details |
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| Author | Rafael Rosales, Rodrigo Drummond, Renan Valieris, Alexandre Defelicibus, Israel Tojal da Silva |
| Bioconductor views | GenomicVariation SomaticMutation StatisticalMethod Visualization |
| Maintainer | Renan Valieris <renan.valieris@accamargo.org.br> |
| License | GPL-3 |
| Version | 2.5.1 |
| URL | https://github.com/TojalLab/signeR |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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