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insane: INsulin Secretion ANalysEr

Mickaël Canouil, Ph.D.

November 14, 2023

1 Installation

# Install insane from CRAN:
install.packages("insane")

# Or the the development version from GitHub:
# install.packages("remotes")
remotes::install_github("mcanouil/insane")
library("insane")
go_insane()

2 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.

2.1 Excel Template

An Excel template is provided within the app to help users import their experiments in an easy way.

2.2 The App

insane provides a user-friendly interface which can handle several projects separately.

2.2.1 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.

2.2.2 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.

2.2.3 List of Outliers (Issues Detected)

A comprehensive list of all issues detected in the selected project is available in an Outliers tab.

Note: The Outliers tab is displayed only if there is at least one issue in the selected project.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.