A user-friendly interface, using Shiny, to analyse glucose-stimulated insulin secretion (GSIS) assays in pancreatic beta cells or islets. The package allows the user to import several sets of experiments from different spreadsheets and to perform subsequent steps: summarise in a tidy format, visualise data quality and compare experimental conditions without omitting to account for technical confounders such as the date of the experiment or the technician. Together, insane is a comprehensive method that optimises pre-processing and analyses of GSIS experiments in a friendly-user interface. The Shiny App was initially designed for EndoC-betaH1 cell line following method described in Ndiaye et al., 2017 (<doi:10.1016/j.molmet.2017.03.011>).
Version: 1.0.3 Depends: R (≥ 3.6.0) Imports: stats, utils, broom (≥ 0.5.6), dplyr (≥ 1.0.0), DT (≥ 0.13), ggplot2 (≥ 3.3.2), ggpubr (≥ 0.3.0), glue (≥ 1.4.1), patchwork (≥ 1.0.1), purrr (≥ 0.3.4), readxl (≥ 1.3.1), shiny (≥ 1.5.0), tidyr (≥ 1.1.0) Suggests: covr (≥ 3.5.0), roxygen2 (≥ 7.1.0), knitr (≥ 1.29), testthat (≥ 2.3.2), rmarkdown (≥ 2.3) Published: 2023-11-14 DOI: 10.32614/CRAN.package.insane Author: Mickaël Canouil [aut, cre] Maintainer: Mickaël Canouil <pro at mickael.canouil.dev> BugReports: https://github.com/mcanouil/insane/issues/ License: MIT + file LICENSE URL: https://github.com/mcanouil/insane/, https://m.canouil.dev/insane/ NeedsCompilation: no Materials: README NEWS CRAN checks: insane results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=insane to link to this page.
RetroSearch is an open source project built by @garambo | Open a GitHub Issue
Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo
HTML:
3.2
| Encoding:
UTF-8
| Version:
0.7.4