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.
[email protected] is safe to use (health: 64/100)
Get this data programmatically — free, no authentication.
curl https://depscope.dev/api/check/conda/r-sccoreFirst published · 2021-12-27 09:06:23.508000+00:00
Last updated · 2026-04-06 12:29:51.373000+00:00