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HiLDA

This is the released version of HiLDA; for the devel version, see HiLDA.

All versions

3.24 (devel), 3.23 (release), 3.22, 3.21, 3.20, 3.19, 3.18, 3.17, 3.16, 3.15, 3.14, 3.13, 3.12, 3.11, 3.10

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

DOI: 10.18129/B9.bioc.HiLDA

Bioconductor version: Release (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")):

Zhi Yang. HiLDA: Conducting statistical inference on comparing the mutational exposures of mutational signatures by using hierarchical latent Dirichlet allocation. doi:10.18129/B9.bioc.HiLDA, R package version 1.26.0, https://bioconductor.org/packages/HiLDA.

Generated from the package metadata; it may differ from the package's own citation.

Installation

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

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

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")

Details

Package Archives

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