steverozen/mSigHdp: Mutational signature discovery using HDP (hierarchical Dirichlet process)

Mutational signature discovery using hierarchical Dirichlet process mixture modeling. mSigHdp stands for 'mutational signature (discovery using) hierarchical Dirichlet processes'. This package uses https://github.com/steverozen/hdpx for the hierarchical Dirichlet process implementation. Most users will start with the function RunHdpxParallel. Please see the vignette for an example. Please also see our paper: Mo Liu, Yang Wu, Nanhai Jiang, Arnoud Boot, Steven G. Rozen, mSigHdp: hierarchical Dirichlet process mixture modeling for mutational signature discovery, https://www.biorxiv.org/content/10.1101/2022.01.31.478587v1. Only supported on Linux systems.

Getting started

Package details

Maintainer
LicenseGPL-3
Version2.1.2
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("steverozen/mSigHdp")
steverozen/mSigHdp documentation built on Feb. 6, 2023, 1:36 a.m.