CRAN/E | scDiffCom

scDiffCom

Differential Analysis of Intercellular Communication from scRNA-Seq Data

Installation

About

Analysis tools to investigate changes in intercellular communication from scRNA-seq data. Using a Seurat object as input, the package infers which cell-cell interactions are present in the dataset and how these interactions change between two conditions of interest (e.g. young vs old). It relies on an internal database of ligand-receptor interactions (available for human, mouse and rat) that have been gathered from several published studies. Detection and differential analyses rely on permutation tests. The package also contains several tools to perform over-representation analysis and visualize the results. See Lagger, C. et al. (2023) doi:10.1038/s43587-023-00514-x for a full description of the methodology.

cyrillagger.github.io/scDiffCom/

Key Metrics

Version 1.0.0
R ≥ 4.0.0
Published 2023-11-03 169 days ago
Needs compilation? no
License MIT
License File
CRAN checks scDiffCom results
Language en-US

Downloads

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Maintainer

Maintainer

Cyril Lagger

lagger.cyril@gmail.com

Authors

Cyril Lagger

aut / cre

Eugen Ursu

aut

Anais Equey

ctb

Material

README
NEWS
Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

scDiffCom archive

Depends

R ≥ 4.0.0

Imports

data.table
DelayedArray
future
future.apply
magrittr
methods
Seurat ≥ 4.0.0
stats
utils

Suggests

biomaRt
covr
DT
ggplot2
GOSemSim
igraph
kableExtra
KEGGREST
knitr
ontologyIndex
ontoProc
pkgdown
plotly
RColorBrewer
rmarkdown
rrvgo
spelling
shiny
shinythemes
shinyWidgets
SingleCellSignalR
testthat ≥ 3.0.0
visNetwork