calculateCurveFit

Calculate the fit for a dose-response curve

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

calculateCurveFit function

<dl><dt>intmat</dt>
<dd>Intensity matrix as generated by
<code>MALDIquant::intensityMatrix()</code>
with rownames as the respective concentrations of the spectra.</dd>
<dt>idx</dt>
<dd>Numeric vector of the mz indices to perform the fit.</dd>
<dt>verbose</dt>
<dd>Logical, print logs to console.</dd>
<dt>...</dt>
<dd>Additional arguments passed to <code>nplr::nplr()</code>.</dd></dl>

Arguments

Calculate the fit for a dose-response curve — calculateCurveFit

<dl>

<dt>intmat</dt>
<dd>Intensity matrix as generated by
<code>MALDIquant::intensityMatrix()</code>
with rownames as the respective concentrations of the spectra.</dd>


<dt>idx</dt>
<dd>Numeric vector of the mz indices to perform the fit.</dd>


<dt>verbose</dt>
<dd>Logical, print logs to console.</dd>


<dt>...</dt>
<dd>Additional arguments passed to <code>nplr::nplr()</code>.</dd>

</dl>

calculateCurveFit: Calculate the fit for a dose-response curve

Description

Usage

Value

Arguments

Examples