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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

MaintainerZhi Yang <zyang895@gmail.com>
AuthorZhi Yang [aut, cre], Yuichi Shiraishi [ctb]
LicenseGPL-3
URLhttps://github.com/USCbiostats/HiLDA, https://doi.org/10.1101/577452
Bug Reportshttps://github.com/USCbiostats/HiLDA/issues
System RequirementsJAGS 4.0.0
Downloads rank323
Source branchRELEASE_3_23
biocViewsBayesian, Sequencing, Software, SomaticMutation, StatisticalMethod

Documentation

Download

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

Suggests: knitr, rmarkdown, testthat, BiocStyle

Reverse dependencies

Imports Me (1): selectKSigs