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sccore  

Core Utilities for Single-Cell RNA-Seq
View on CRAN: Click here


Download and install sccore package within the R console
Install from CRAN:
install.packages("sccore")

Install from Github:
library("remotes")
install_github("cran/sccore")

Install by package version:
library("remotes")
install_version("sccore", "1.0.5")



Attach the package and use:
library("sccore")
Maintained by
Evan Biederstedt
[Scholar Profile | Author Map]
First Published: 2020-09-30
Latest Update: 2024-02-23
Description:
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.
How to cite:
Evan Biederstedt (2020). sccore: Core Utilities for Single-Cell RNA-Seq. R package version 1.0.5, https://cran.r-project.org/web/packages/sccore. Accessed 29 Mar. 2025.
Previous versions and publish date:
0.1.0 (2020-09-30 12:00), 0.1.1 (2020-12-14 10:20), 0.1.2 (2021-02-23 13:20), 0.1.3 (2021-05-05 08:00), 1.0.0 (2021-10-07 22:00), 1.0.1 (2021-12-12 06:40), 1.0.2 (2022-08-23 21:50), 1.0.3 (2023-03-13 01:00), 1.0.4 (2023-07-13 01:50)
Other packages that cited sccore R package
View sccore citation profile
Other R packages that sccore depends, imports, suggests or enhances
Complete documentation for sccore
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