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HiLDA

This is the development version of HiLDA; for the stable release version, see HiLDA.

Conducting statistical inference on comparing the mutational exposures of mutational signatures by using hierarchical latent Dirichlet allocation


Bioconductor version: Development (3.23)

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.

Author: Zhi Yang [aut, cre], Yuichi Shiraishi [ctb]

Maintainer: Zhi Yang <zyang895 at gmail.com>

Citation (from within R, enter citation("HiLDA")):

Installation

To install this package, start R (version "4.6") and enter:


if (!require("BiocManager", quietly = TRUE))
 install.packages("BiocManager")
# The following initializes usage of Bioc devel
BiocManager::install(version='devel')
BiocManager::install("HiLDA")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("HiLDA")
An introduction to HiLDA HTML R Script
Reference Manual PDF
NEWS Text
INSTALL Text

Details

Version 1.25.0
In Bioconductor since BioC 3.10 (R-3.6) (6 years)
License GPL-3
Depends R (>= 4.1), ggplot2
System Requirements JAGS 4.0.0
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Package Archives

Follow Installation instructions to use this package in your R session.

Source Package HiLDA_1.25.0.tar.gz
Windows Binary (x86_64) HiLDA_1.25.0.zip (64-bit only)
macOS Binary (x86_64)
macOS Binary (arm64)
Source Repository git clone https://git.bioconductor.org/packages/HiLDA
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/HiLDA
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