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MALDIcellassay
View on CRAN: Click
here
Download and install MALDIcellassay package within the R console
Install from CRAN:
install.packages("MALDIcellassay")
Install from Github:
library("remotes")
install_github("cran/MALDIcellassay")
Install by package version:
library("remotes")
install_version("MALDIcellassay", "0.4.47")
Attach the package and use:
library("MALDIcellassay")
Maintained by
Thomas Enzlein
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2024-08-29
Latest Update: 2024-08-29
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>.
How to cite:
Thomas Enzlein (2024). MALDIcellassay: Automated MALDI Cell Assays Using Dose-Response Curve Fitting. R package version 0.4.47, https://cran.r-project.org/web/packages/MALDIcellassay. Accessed 23 Nov. 2024.
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