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nspcaview

Lifecycle: experimental

Optimised matrix visualization of Non-negative Sparse PCA components.

Installation

You can install the development version of nspcaview from GitHub with:

# install.packages("devtools")
devtools::install_github("NoeDemange/NSPCAview")

Example

This is a basic example which shows you how to run the app:

library(nspcaview)
nspcaview::run_app(options=list("launch.browser"=TRUE))

Credits

This app was developed by Noe Demange. It was developed for and is maintained by Guillaume Sapriel. It is deployed on the MIGALE platform by Cédric Midoux. We are grateful to the INRAE MIGALE bioinformatics facility (MIGALE, INRAE, 2020. Migale bioinformatics Facility, doi: 10.15454/1.5572390655343293E12) for providing help and storage resources.

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App Shiny : Optimised matrix visualization of Non-negative Sparse PCA components.

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