InterCellar is implemented as an R/Bioconductor Package containing a Shiny app that allows users to interactively analyze cell-cell communication from scRNA-seq data. Starting from precomputed ligand-receptor interactions, InterCellar provides filtering options, annotations and multiple visualizations to explore clusters, genes and functions. Finally, based on functional annotation from Gene Ontology and pathway databases, InterCellar implements data-driven analyses to investigate cell-cell communication in one or multiple conditions.
Package details |
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Bioconductor views | GO SingleCell Software Transcriptomics Visualization |
Maintainer | |
License | MIT + file LICENSE |
Version | 2.1.2 |
URL | https://github.com/martaint/InterCellar |
Package repository | View on GitHub |
Installation |
Install the latest version of this package by entering the following in R:
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