The iSEE
package is a flexible, powerful and extendible application to explore any dataset stored in SummarizedExperiment objects, including single cell and spatially resolved data.
iSEE
enables a multitude of panels to gain in-depth insight in your data; it does so combining interactivity and reproducibility, and providing an ideal companion to CELLxGENE for deeper dives into data.
https://iSEE.github.io/iSEEdemo https://github.com/iSEE/iSEEdemo
library("remotes")
remotes::install_github("iSEE/iSEEdemo",
dependencies = TRUE,
build_vignettes = TRUE)
- Open the
iSEEdemo.Rproj
project file - Navigate to the
vignettes
folder - Make sure the datasets are included in the
datasets
subfolder (if using Seurat or AnnData) - Open the
iSEEdemo.Rmd
Rmarkdown file and execute its content live!