signeR
Empirical Bayesian approach to mutational signature discovery
Bioconductor version: 3.23 · Package version: 2.14.0
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.
Installation
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("signeR") Details
| Maintainer | Renan Valieris <renan.valieris@accamargo.org.br> |
| Author | Rafael Rosales, Rodrigo Drummond, Renan Valieris, Alexandre Defelicibus, Israel Tojal da Silva |
| License | GPL-3 |
| URL | https://github.com/TojalLab/signeR |
| System Requirements | C++14 |
| Downloads rank | 416 |
| Source branch | RELEASE_3_23 |
| biocViews | GenomicVariation, Software, SomaticMutation, StatisticalMethod, Visualization |
Documentation
Download
Dependencies
Depends: R (>= 4.1.0), NMF
Imports: BiocGenerics, Biostrings, class, grDevices, GenomeInfoDb, GenomicRanges, IRanges, nloptr, methods, stats, utils, PMCMRplus, parallel, pvclust, ppclust, clue, survival, maxstat, future, VGAM, MASS, kknn, glmnet, e1071, randomForest, ada, future.apply, ggplot2, pROC, pheatmap, RColorBrewer, listenv, reshape2, scales, survminer, dplyr, ggpubr, cowplot, tibble, readr, shiny, shinydashboard, shinycssloaders, shinyWidgets, bsplus, DT, magrittr, tidyr, BiocFileCache, proxy, rtracklayer, BSgenome, broom, VariantAnnotation
LinkingTo: Rcpp, RcppArmadillo (>= 0.7.100)
Suggests: knitr, BSgenome.Hsapiens.UCSC.hg19, BSgenome.Hsapiens.UCSC.hg38, rmarkdown