getAppliedNormFactors

Extract applied normalization factors

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

getAppliedNormFactors function

<dl><dt>object</dt>
<dd>Object of class MALDIassay</dd></dl>

Arguments

Extract applied normalization factors — getAppliedNormFactors

<dl>

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

</dl>

getAppliedNormFactors: Extract applied normalization factors

Description

Usage

Value

Arguments

Examples