kharchenkolab/sccore: Core Utilities for Single-Cell RNA-Seq

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.

Getting started

Package details

AuthorPeter Kharchenko [aut], Viktor Petukhov [aut], Ramus Rydbirk [aut], Evan Biederstedt [aut, cre]
MaintainerEvan Biederstedt <evan.biederstedt@gmail.com>
LicenseGPL-3
Version0.1.1
URL https://github.com/kharchenkolab/sccore
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("kharchenkolab/sccore")
kharchenkolab/sccore documentation built on Jan. 23, 2021, 6:24 a.m.