insane: INsulin Secretion ANalysEr
Mickaël Canouil, Ph.D.
November 14, 2023
Source:vignettes/insane.Rmd
insane.Rmd
Installation
# Install insane from CRAN:
install.packages("insane")
# Or the the development version from GitHub:
# install.packages("remotes")
remotes::install_github("mcanouil/insane")
Overview
The Shiny (R package) application insane (INsulin Secretion ANalysEr) provides a web interactive tool to import experiments of insulin secretion using cell lines such as EndoC-βH1.
Excel Template
An Excel template is provided within the app to help users import their experiments in an easy way.
The App
insane provides a user-friendly interface which can handle several projects separately.
Technical Quality-Control
insane performs technical quality-control of the optical density measured in each steps of the experiments:
- blank (BLANK),
- lysat (LYSATE),
- supernatant (SUPERNATANT1 and SUPERNATANT2).
This technical quality-control step checks:
- the variability among the duplicated optical density measures of each samples;
- the variability in the blank curves (intercept and slope estimates) among all experiments in a project.
Statistical analyses
insane performs statistical analyses of the experimental conditions, e.g., one silenced gene (siGENE) compared to an insulin secretion reference (siNTP) in two stimulation conditions (Glc and Glc + A).
Conditions are compared using a linear regression with
Date
and Operator
as covariates (if needed) to
control for heterogeneity.
-
Using all experiments in the selected project
-
Boxplot version
-
Histogram version
-
-
Using some of the experiments in the selected project
If and when some experiments are failing any of the technical
quality-controls, a summary of the issues regarding the selected
experiments can be displayed using the button
Show Issues in the Selected Experiments
.