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', log2 Fold-Change, and Curve response score (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>.
Package details |
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Maintainer | |
License | MIT + file LICENSE |
Version | 0.4.47.9000 |
URL | https://github.com/CeMOS-Mannheim/MALDIcellassay https://cemos-mannheim.github.io/MALDIcellassay/ |
Package repository | View on GitHub |
Installation |
Install the latest version of this package by entering the following in R:
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