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# sccore
Core utilities for single-cell RNA-seq data analysis. Contained within are utility functions for working with differential expression (DE) matrices and count matrices, a collection of functions for manipulating and plotting data via 'ggplot2', and functions to work with cell graphs and cell embeddings. Graph-based methods include embedding kNN cell graphs into a [UMAP](https://github.com/lmcinnes/umap), collapsing vertices of each cluster in the graph, and propagating graph labels.
 
## Installation


To install the stable version from [CRAN](https://CRAN.R-project.org/package=sccore), use:

```r
install.packages('sccore')
```

To install the latest version, use:

```r
install.packages('devtools')
devtools::install_github('kharchenkolab/sccore')
```

## Citation

If you find `sccore` useful for your publication, please cite:

```
Viktor Petukhov, Rasmus Rydbirk, Peter Kharchenko and Evan Biederstedt
(2021). sccore: Core Utilities for Single-Cell RNA-Seq. R package
version 1.0.6. https://github.com/kharchenkolab/sccore
```
