HiLDA
Conducting statistical inference on comparing the mutational exposures of mutational signatures by using hierarchical latent Dirichlet allocation
Bioconductor version: 3.23 · Package version: 1.26.0
A package built under the Bayesian framework of applying hierarchical latent Dirichlet allocation. It statistically tests whether the mutational exposures of mutational signatures (Shiraishi-model signatures) are different between two groups. The package also provides inference and visualization.
Installation
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("HiLDA") Details
| Maintainer | Zhi Yang <zyang895@gmail.com> |
| Author | Zhi Yang [aut, cre], Yuichi Shiraishi [ctb] |
| License | GPL-3 |
| URL | https://github.com/USCbiostats/HiLDA, https://doi.org/10.1101/577452 |
| Bug Reports | https://github.com/USCbiostats/HiLDA/issues |
| System Requirements | JAGS 4.0.0 |
| Downloads rank | 323 |
| Source branch | RELEASE_3_23 |
| biocViews | Bayesian, Sequencing, Software, SomaticMutation, StatisticalMethod |
Documentation
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Dependencies
Depends: R (>= 4.1), ggplot2
Imports: R2jags, abind, cowplot, grid, forcats, stringr, GenomicRanges, S4Vectors, XVector, Biostrings, GenomicFeatures, BSgenome.Hsapiens.UCSC.hg19, BiocGenerics, tidyr, grDevices, stats, TxDb.Hsapiens.UCSC.hg19.knownGene, utils, methods, Rcpp
LinkingTo: Rcpp
Reverse dependencies
Imports Me (1): selectKSigs