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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, collapsing vertices of each cluster in the graph, and propagating graph labels.
To install the stable version from CRAN, use:
To install the latest version, use:
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 1.0.5. https://github.com/kharchenkolab/sccoreThese binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.