R toolkit for inference, visualization and analysis of cell-cell communication from single-cell data
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Updated
Jan 6, 2024 - R
R toolkit for inference, visualization and analysis of cell-cell communication from single-cell data
NicheNet: predict active ligand-target links between interacting cells
R toolkit for inference, visualization and analysis of cell-cell communication from single-cell and spatially resolved transcriptomics
LIANA: a LIgand-receptor ANalysis frAmework
LIANA+: an all-in-one framework for cell-cell communication
MultiNicheNet: a flexible framework for differential cell-cell communication analysis from multi-sample multi-condition single-cell transcriptomics data
Learning cell communication from spatial graphs of cells
characterizing spatial gene expression heterogeneity in spatially resolved single-cell transcriptomics data with nonuniform cellular densities
Knowledge-graph-based cell-cell communication inference for spatially resolved transcriptomic data
User-friendly tool to infer cell-cell interactions and communication from gene expression of interacting proteins
Code used to create the core and extended GBmap, including downstream analyses (cell-cell interactions, spatial transcriptomics deconvolution) and how to produce the figures.
R package to do the Ligand Receptor Analysis Visualization
Collection of computational tools for cell-cell communication inference for single-cell and spatially resolved omics
Single-cell RNA-seq data-based inference of multilayer inter- and intra-cellular signaling networks
A manually curated database of literature-supported ligand-receptor interactions in human and mouse
Spatial direct messaging detected by bivariate Moran
SoptSC for single cell data analysis: unsupervised inference of clustering, cell lineage, pseudotime and cell-cell communication network from scRNA-seq data.
HoloNet. Reveal the holograph of functional communication events in spatial transcriptomics. Help understand how microenvironments shaping cellular phenotypes
Identifying external communication signals using single-cell transcriptomics data
ESICCC: A systematic computational framework for evaluation, selection and integration of cell-cell communication inference methods
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