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MALDIcellassay  

Automated MALDI Cell Assays Using Dose-Response Curve Fitting
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]
All associated links for this package
First Published: 2024-08-29
Latest Update:
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 04 Jul. 2026.
Previous versions and publish date:
0.4.47 (2024-08-29 21:10)
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View MALDIcellassay citation profile
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Complete documentation for MALDIcellassay
Functions, R codes and Examples using the MALDIcellassay R package
Full MALDIcellassay package functions and examples
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