sdMassSpectrum

This is a fork from sgibb's MALDIquant::averageMassSpectra() function.
It is now able to compute "standard-deviation spectra".

Conduct automated cell-based assays using Matrix-Assisted Laser Desorption/Ionization (MALDI) methods for high-throughput screening of signals responsive to treatments. The package efficiently identifies high variance signals and fits dose-response curves to them. Quality metrics such as Z', V', log2FC, and CRS are provided for evaluating the potential of signals as biomarkers. The methodologies were introduced by Weigt et al. (2018) <doi:10.1038/s41598-018-29677-z> and refined by Unger et al. (2021) <doi:10.1038/s41596-021-00624-z>.

Thomas Enzlein

MALDIcellassay

Automated MALDI Cell Assays Using Dose-Response Curve Fitting

sdMassSpectrum function

<dl><dt>l</dt>
<dd>list, list of MassSpectrum objects.</dd>
<dt>labels</dt>
<dd>list, list of factors (one for each MassSpectrum object) to do groupwise averaging.</dd>
<dt>...</dt>
<dd>arguments to be passed to underlying functions (currently only mc.cores is supported).</dd></dl>

Arguments

Compute standard-deviation spectra — sdMassSpectrum

<dl>

<dt>l</dt>
<dd>list, list of MassSpectrum objects.</dd>


<dt>labels</dt>
<dd>list, list of factors (one for each MassSpectrum object) to do groupwise averaging.</dd>


<dt>...</dt>
<dd>arguments to be passed to underlying functions (currently only mc.cores is supported).</dd>

</dl>

sdMassSpectrum: Compute standard-deviation spectra

Description

Usage

Value

Arguments

Examples