A comprehensive toolkit for analyzing microscopy data output from 'QuPath' software. Provides functionality for automated data processing, metadata extraction, and statistical analysis of imaging results. The methodology implemented in this package is based on Labrosse et al. (2024) <doi:10.1016/j.xpro.2024.103274> "Protocol for quantifying drug sensitivity in 3D patient-derived ovarian cancer models", which describes the complete workflow for drug sensitivity analysis in patient-derived cancer models.
Version: 0.1.0 Depends: R (≥ 4.2) Imports: dplyr, ggplot2, ggpubr, knitr, roxygen2, stats, stringr, tidyr, tidyselect, utils, testthat (≥ 3.0.0) Published: 2025-01-16 DOI: 10.32614/CRAN.package.drugsens Author: Flavio Lombardo [aut, cre, cph], Ricardo Coelho [cph], Ovarian Cancer Research [cph], University of Basel and University Hospital Basel [cph] Maintainer: Flavio Lombardo <flavio.lombardo at unibas.ch> BugReports: https://git.scicore.unibas.ch/ovca-research/drugsens/-/issues License: MIT + file LICENSE URL: https://git.scicore.unibas.ch/ovca-research/drugsens/ NeedsCompilation: no SystemRequirements: QuPath⢠4.0.0 or higher Materials: README, NEWS CRAN checks: drugsens results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=drugsens to link to this page.
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