calculateSSMD

Calculate strictly standardized mean difference (SSMD)

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

calculateSSMD function

<dl><dt>res</dt>
<dd>Object of class MALDIassay</dd>
<dt>internal</dt>
<dd>Logical, currently only the internal implementation,
using <code>nConc</code> top and bottom concentrations, is implemented.</dd>
<dt>nConc</dt>
<dd>Numeric, number of top and bottom concentrations to be used
to calculate the pseudo positive and negative control.
Only used if <code>internal</code> is TRUE</dd></dl>

Arguments

Calculate strictly standardized mean difference (SSMD) — calculateSSMD

<dl>

<dt>res</dt>
<dd>Object of class MALDIassay</dd>


<dt>internal</dt>
<dd>Logical, currently only the internal implementation,
using <code>nConc</code> top and bottom concentrations, is implemented.</dd>


<dt>nConc</dt>
<dd>Numeric, number of top and bottom concentrations to be used
to calculate the pseudo positive and negative control.
Only used if <code>internal</code> is TRUE</dd>

</dl>

calculateSSMD: Calculate strictly standardized mean difference (SSMD)

Description

Usage

Value

Arguments

Details

Examples