### Installing scMerge R Package

Source: https://github.com/sydneybiox/scmerge/blob/master/README.md

This snippet demonstrates how to install the scMerge package from Bioconductor. It shows commands for installing the stable release and the development version, requiring R version 3.6.0 or above. BiocManager is a prerequisite for this installation method.

```R
## Install scMerge from Bioconductor, requires R 3.6.0 or above
BiocManager::install("scMerge")
## You can also try to install the Bioconductor devel version of scMerge:
BiocManager::install("scMerge", version = "devel")
```

--------------------------------

### Accessing Stably Expressed Genes (SEG) in R

Source: https://github.com/sydneybiox/scmerge/blob/master/README.md

This snippet illustrates how to load and access the pre-identified stably expressed genes (SEG) lists for human and mouse from within the scMerge R package. It requires the scMerge package to be loaded and uses the data() function to load the segList object, which contains the SEG data.

```R
library(scMerge)
data(segList)
segList$human$human_scSEG # human SEG
segList$mouse$mouse_scSEG # mouse SEG
```

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