To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("YAPSA")

In most cases, you don't need to download the package archive at all.

YAPSA

DOI: 10.18129/B9.bioc.YAPSA

Yet Another Package for Signature Analysis

Bioconductor version: Release (3.5)

This package provides functions and routines useful in the analysis of somatic signatures (cf. L. Alexandrov et al., Nature 2013). In particular, functions to perform a signature analysis with known signatures (LCD = linear combination decomposition) and a signature analysis on stratified mutational catalogue (SMC = stratify mutational catalogue) are provided.

Author: Daniel Huebschmann, Zuguang Gu, Matthias Schlesner

Maintainer: Daniel Huebschmann <huebschmann.daniel at googlemail.com>

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

Installation

To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("YAPSA")

Documentation

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Details

Version 1.2.0
In Bioconductor since BioC 3.4 (R-3.3) (1 year)
License GPL-3
Depends R (>= 3.3.0), GenomicRanges, ggplot2, grid
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Package Archives

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

Source Package YAPSA_1.2.0.tar.gz
Windows Binary YAPSA_1.2.0.zip
Mac OS X 10.11 (El Capitan) YAPSA_1.2.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/YAPSA
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