Package: MALDIcellassay
Type: Package
Title: Automated MALDI Cell Assays Using Dose-Response Curve Fitting
Version: 0.4.47
Authors@R: person(given = "Thomas",
                  family = "Enzlein",
                  role = c("aut", "cre", "cph"),
                  email = "t.enzlein@hs-mannheim.de",
                  comment = c(ORCID = "0000-0003-1789-4090"))
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>.
License: MIT + file LICENSE
Imports: methods, ggplot2, nplr, dplyr, tidyr, forcats, scales,
        MALDIquant, MALDIquantForeign, tibble, svMisc, purrr
Encoding: UTF-8
LazyData: true
LazyDataCompression: xz
RoxygenNote: 7.3.2
Suggests: rmarkdown, knitr
VignetteBuilder: knitr
Depends: R (>= 4.2)
URL: https://github.com/CeMOS-Mannheim/MALDIcellassay
BugReports: https://github.com/CeMOS-Mannheim/MALDIcellassay/issues
NeedsCompilation: no
Packaged: 2024-08-26 13:58:21 UTC; tenzl
Author: Thomas Enzlein [aut, cre, cph]
    (<https://orcid.org/0000-0003-1789-4090>)
Maintainer: Thomas Enzlein <t.enzlein@hs-mannheim.de>
Repository: CRAN
Date/Publication: 2024-08-29 19:10:09 UTC
Built: R 4.4.1; ; 2024-08-29 21:56:08 UTC; unix
