This repository hosts the source code corresponding to the method described in Noël, F., Massenet-Regad, L., Carmi-Levy, I. et al. to infer intercellular communication networks and dissect intercellular communication between multiples cell types based on their transcriptomic profiles.
Additional details on updates and previous versions can be found here.
Remark: ICELLNET v2.0.0 requires R version < 4.1. For latest R versions (> 4.1.x), please use ICELLNET v2.2.x.
Information related to ICELLNET and tutorialsinstall.packages(c("devtools", "jetset", "readxl", "psych", "GGally", "gplots", "ggplot2", "RColorBrewer", "data.table", "grid", "gridExtra", "ggthemes", "scales","rlist")) ##Installs devtools and the icellnet CRAN dependancies
if (!requireNamespace("BiocManager", quietly = TRUE)) # Installs icellnet Bioconductor dependancies
install.packages("BiocManager")
BiocManager::install(c("BiocGenerics", "org.Hs.eg.db", "hgu133plus2.db", "annotate"))
Installation of ICELLNET package:
library(devtools)
install_github("soumelis-lab/ICELLNET",ref="master", subdir="icellnet")
Once all the dependencies are downloaded and loaded, you can load the ‘icellnet’ package.
If you use our human curated ligand-receptor interaction database or the ICELLNET method, please cite our papers:
Noël, F., Massenet-Regad, L., Carmi-Levy, I. et al. Dissection of intercellular communication using the transcriptome-based framework ICELLNET. Nat Commun 12, 1089 (2021). https://doi.org/10.1038/s41467-021-21244-x link
Massenet-Regad L, Soumelis V. ICELLNET v2: a versatile method for cell-cell communication analysis from human transcriptomic data. Bioinformatics. 2024 Mar 4;40(3):btae089. doi: 10.1093/bioinformatics/btae089. PMID: 38490248. link
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