sort_exposure

Sort columns of an exposure matrix based on the number of mutations in each sample (column).

Utility functions for mutational signature analysis
as described in Alexandrov, L. B. (2020)
<doi:10.1038/s41586-020-1943-3>.
This package provides two groups of functions. One is
for dealing with mutational signature "exposures"
(i.e. the counts of mutations in a sample that are
due to each mutational signature). The other group of
functions is for matching or comparing sets of
mutational signatures. 'mSigTools' stands for
mutational Signature analysis Tools.

Steven Rozen

mSigTools

Mutational Signature Analysis Tools

Nanhai Jiang

sort_exposure function

<dl><dt>exposure</dt>
<dd>Exposures as a numerical matrix (or data.frame) with
signatures in rows and samples in columns. Rownames are taken as the
signature names and column names are taken as the sample IDs.</dd>
<dt>decreasing</dt>
<dd>If <code>TRUE</code>, sort from largest to smallest.</dd></dl>

Arguments

Sort columns of an exposure matrix based on the number of mutations in each sample (column). — sort_exposure

<dl>

<dt>exposure</dt>
<dd>Exposures as a numerical matrix (or data.frame) with
signatures in rows and samples in columns. Rownames are taken as the
signature names and column names are taken as the sample IDs.</dd>


<dt>decreasing</dt>
<dd>If <code>TRUE</code>, sort from largest to smallest.</dd>

</dl>

sort_exposure: Sort columns of an exposure matrix based on the number of mutations in each sample (column).

Description

Usage

Value

Arguments

Examples