DOI: 10.18129/B9.bioc.SingleCellSignalR  

This package is for version 3.17 of Bioconductor; for the stable, up-to-date release version, see SingleCellSignalR.

Cell Signalling Using Single Cell RNAseq Data Analysis

Bioconductor version: 3.17

Allows single cell RNA seq data analysis, clustering, creates internal network and infers cell-cell interactions.

Author: Simon Cabello-Aguilar Developer [aut], Jacques Colinge Developer [aut, cre]

Maintainer: Jacques Colinge Developer <jacques.colinge at>

Citation (from within R, enter citation("SingleCellSignalR")):


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biocViews Classification, Clustering, Network, RNASeq, SingleCell, Software
Version 1.12.0
In Bioconductor since BioC 3.11 (R-4.0) (3.5 years)
License GPL-3
Depends R (>= 4.0)
Imports BiocManager, circlize, limma, igraph, gplots, grDevices, edgeR, data.table, pheatmap, stats, Rtsne, graphics, stringr, foreach, multtest, scran, utils
Suggests knitr, rmarkdown
Depends On Me
Imports Me scFeatures
Suggests Me tidySingleCellExperiment
Links To Me
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