CRAN/E | sccore

sccore

Core Utilities for Single-Cell RNA-Seq

Installation

About

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.

github.com/kharchenkolab/sccore
Bug report File report

Key Metrics

Version 1.0.5
R ≥ 3.5.0
Published 2024-02-23 65 days ago
Needs compilation? yes
License GPL-3
CRAN checks sccore results

Downloads

Yesterday 38 -45%
Last 7 days 541 +10%
Last 30 days 2.024 -1%
Last 90 days 5.135 +72%
Last 365 days 14.009 +13%

Maintainer

Maintainer

Evan Biederstedt

evan.biederstedt@gmail.com

Authors

Viktor Petukhov

aut

Rasmus Rydbirk

aut

Peter Kharchenko

aut

Evan Biederstedt

aut / cre

Material

README
Reference manual
Package source

In Views

Omics

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

sccore archive

Depends

R ≥ 3.5.0

Imports

dplyr
ggplot2
ggrepel
graphics
grDevices
igraph
irlba
magrittr
Matrix
methods
parallel
pbmcapply
pROC
Rcpp
rlang
scales
stats
tibble
utils
uwot
withr

Suggests

ggrastr ≥ 0.1.7
jsonlite
rmumps
testthat

LinkingTo

Rcpp
RcppArmadillo
RcppProgress
RcppEigen

Reverse Imports

conos
CRMetrics
leidenAlg
pagoda2
scITD