ovarianDESIDoria2016

Loads a single human ovarian cancer DESI mass spectrometry imaging dataset
acquired in negative ionization mode using Waters XEVO-GS2 qToF. The
dataset is available at
"https://raw.github.com/paoloinglese/SPUTNIKexamples/master/data/ovarian_xevo_prepr_MALDIquant.RData"
The dataset is loaded in the R environment under the variable name <code>maldiData</code>.

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

ovarianDESIDoria2016 function

<dl><dt>verbose</dt>
<dd>Logical (default = TRUE). Show additional output text.</dd></dl>

Arguments

Load the example DESI-MSI data. — ovarianDESIDoria2016

<dl>

<dt>verbose</dt>
<dd>Logical (default = TRUE). Show additional output text.</dd>

</dl>

ovarianDESIDoria2016: Load the example DESI-MSI data.

Description

Usage

Value

Arguments

References