getNormFactors

Get normalization factors from peak data.frame

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

getNormFactors function

<dl><dt>peaksdf</dt>
<dd>data.frame with peaks information as generated by peaks2df()</dd>
<dt>targetMz</dt>
<dd>Numeric, target mass</dd>
<dt>tol</dt>
<dd>Numeric, tolerance around targetMz</dd>
<dt>tolppm</dt>
<dd>Logical, is the tolerance provided in ppm (TRUE) or Daltion (FALSE)</dd>
<dt>allowNoMatch</dt>
<dd>Logical, stop if targetMz is not fround in single spectrum?
If TRUE spectra without targetMz match will be excluded.</dd></dl>

Arguments

Get normalization factors from peak data.frame — getNormFactors

<dl>

<dt>peaksdf</dt>
<dd>data.frame with peaks information as generated by peaks2df()</dd>


<dt>targetMz</dt>
<dd>Numeric, target mass</dd>


<dt>tol</dt>
<dd>Numeric, tolerance around targetMz</dd>


<dt>tolppm</dt>
<dd>Logical, is the tolerance provided in ppm (TRUE) or Daltion (FALSE)</dd>


<dt>allowNoMatch</dt>
<dd>Logical, stop if targetMz is not fround in single spectrum?
If TRUE spectra without targetMz match will be excluded.</dd>

</dl>

getNormFactors: Get normalization factors from peak data.frame

Description

Usage

Value

Arguments

Examples