insane-package: insane: INsulin Secretion ANalysEr
In insane: INsulin Secretion ANalysEr
insane-package R Documentation
insane: INsulin Secretion ANalysEr
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 (\Sexpr[results=rd]{tools:::Rd_expr_doi("10.1016/j.molmet.2017.03.011")}).
Author(s)
Maintainer: Mickaël Canouil pro@mickael.canouil.dev (ORCID)
See Also
Useful links:
insane documentation built on Nov. 15, 2023, 1:09 a.m.
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| insane-package | R Documentation |
insane: INsulin Secretion ANalysEr
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 (\Sexpr[results=rd]{tools:::Rd_expr_doi("10.1016/j.molmet.2017.03.011")}).
Author(s)
Maintainer: Mickaël Canouil pro@mickael.canouil.dev (ORCID)
See Also
Useful links:
R Package Documentation
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Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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