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| Name | Last modified | Size | Description |
|---|---|---|---|---|
| Parent Directory | - | ||
| README.html | 2020-09-30 12:00 | 4.9K | |
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.
If you find sccore useful for your publication, please cite:
Peter Kharchenko, Viktor Petukhov, Ramus Rydbirk and Evan Biederstedt
(2020). sccore: Core Utilities for Single-Cell RNA-Seq. R package
version 0.1.0. https://github.com/kharchenkolab/sccore