<code>NMI</code> returns the normalized mutual information between two <code>ms.image</code>
objects. The normalized mutual information is calculated as the mutual information
divided by square-root of the product of the entropies. This function makes
use of the functions available in <code>infotheo</code> R package.

Set of tools for peak filtering of mass spectrometry
imaging data based on spatial distribution of signal. Given a
region-of-interest, representing the spatial region where the informative
signal is expected to be localized, a series of filters determine which peak
signals are characterized by an implausible spatial distribution. The filters
reduce the dataset dimension and increase its information vs noise ratio,
improving the quality of the unsupervised analysis results, reducing data
dimension and simplifying the chemical interpretation.
The methods are described in Inglese P. et al (2019) <doi:10.1093/bioinformatics/bty622>.

Paolo Inglese

SPUTNIK

Spatially Automatic Denoising for Imaging Mass Spectrometry
Toolkit

Goncalo Correia

NMI function

<dl><dt>x</dt>
<dd>numeric array. Image 1 color intensity array.</dd>
<dt>y</dt>
<dd>numeric array. Image 2 (binary mask).</dd>
<dt>numBins</dt>
<dd>numeric. Number of bins for discretizing the image colors.</dd></dl>

Arguments

Paolo Inglese <a href="/link/p.inglese14%40imperial.ac.uk?package=SPUTNIK&version=1.4.2" data-mini-rdoc="SPUTNIK::p.inglese14@imperial.ac.uk">p.inglese14@imperial.ac.uk</a>

Author

Normalized mutual information (NMI). — NMI

<dl>

<dt>x</dt>
<dd>numeric array. Image 1 color intensity array.</dd>


<dt>y</dt>
<dd>numeric array. Image 2 (binary mask).</dd>


<dt>numBins</dt>
<dd>numeric. Number of bins for discretizing the image colors.</dd>

</dl>

Paolo Inglese <a href='mailto:p.inglese14@imperial.ac.uk'>p.inglese14@imperial.ac.uk</a>

NMI: Normalized mutual information (NMI).

Description

Usage

Value

Arguments

Author

References