Description
Automated MALDI Cell Assays Using Dose-Response Curve Fitting.
Description
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>.
README.md
MALDIcellassay
Detects high variance signals and generates dose-response curves to further investigate candidate signals from MALDI cell based assays. More information in Unger et. Al. 2021
Main functionality
The main function in this package is fitCurve() which will not only do logistic regression and variance filtering but also handle all preprocessing necessary:
- Spectral alignment ("single-point re-calibration").
- Normalization by an internal standard or known endogenous signal
All these function can also be called on there own.
This package makes heavy use of the MALDIquant framework.