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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 <doi:10.21105/joss.00861>, collapsing vertices of each cluster in the graph, and propagating graph labels.
Package details |
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Author | Viktor Petukhov [aut], Rasmus Rydbirk [aut], Peter Kharchenko [aut], Evan Biederstedt [aut, cre] |
Maintainer | Evan Biederstedt <evan.biederstedt@gmail.com> |
License | GPL-3 |
Version | 1.0.6 |
URL | https://github.com/kharchenkolab/sccore |
Package repository | View on CRAN |
Installation |
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