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.
Package details |
|
---|---|
Maintainer | |
License | GPL-3 |
Version | 2.1.2 |
Package repository | View on GitHub |
Installation |
Install the latest version of this package by entering the following in R:
|
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.