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insane  

INsulin Secretion ANalysEr
View on CRAN: Click here


Download and install insane package within the R console
Install from CRAN:
install.packages("insane")

Install from Github:
library("remotes")
install_github("cran/insane")

Install by package version:
library("remotes")
install_version("insane", "1.0.3")



Attach the package and use:
library("insane")
Maintained by
Mickaël Canouil
[Scholar Profile | Author Map]
First Published: 2020-11-04
Latest Update: 2023-04-01
Description:
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 ().
How to cite:
Mickaël Canouil (2020). insane: INsulin Secretion ANalysEr. R package version 1.0.3, https://cran.r-project.org/web/packages/insane. Accessed 29 Mar. 2025.
Previous versions and publish date:
0.1.0 (2020-11-04 13:10), 1.0.0 (2022-11-25 01:00), 1.0.1 (2022-12-06 01:30), 1.0.2 (2023-04-01 14:30)
Other packages that cited insane R package
View insane citation profile
Other R packages that insane depends, imports, suggests or enhances
Complete documentation for insane
Functions, R codes and Examples using the insane R package
Some associated functions: deploy . go_insane . insane-package . 
Some associated R codes: deploy.R . go_insane.R . insane-package.R .  Full insane package functions and examples
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