Installation
About
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 doi:10.21105/joss.00861, collapsing vertices of each cluster in the graph, and propagating graph labels.
github.com/kharchenkolab/sccore | |
Bug report | File report |
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Depends
R | ≥ 3.5.0 |