CeMOS-Mannheim/MALDIcellassay: Automated MALDI Cell Assays Using Dose-Response Curve Fitting

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>.

Getting started

Package details

Maintainer
LicenseMIT + file LICENSE
Version0.4.47.9000
URL https://github.com/CeMOS-Mannheim/MALDIcellassay https://cemos-mannheim.github.io/MALDIcellassay/
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("CeMOS-Mannheim/MALDIcellassay")
CeMOS-Mannheim/MALDIcellassay documentation built on Jan. 24, 2025, 11:17 p.m.