# scider: Spatial cell-type inter-correlation by density in R. <img src="man/figures/scider_sticker.png" align="right" alt="" width="120" />
[](https://github.com/ChenLaboratory/scider/actions)
[](https://app.codecov.io/gh/ChenLaboratory/scider?branch=devel)
*scider* implements functions to analyse spatial transcriptomics
data with cell type annotations by performing cell type
correlation via density estimation and cell type co-localization
via real number distance. Functions include density
estimation, statistical modelling and visualizations.
Install released version form Bioconductor
```
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("scider")
```
Install development version from GitHub
```
library(devtools)
devtools::install_github("ChenLaboratory/scider")
```