A manually curated database of literature-supported ligand-receptor interactions in human and mouse
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Updated
Jul 1, 2024 - R
A manually curated database of literature-supported ligand-receptor interactions in human and mouse
Collection of computational tools for cell-cell communication inference for single-cell and spatially resolved omics
R toolkit for inference, visualization and analysis of cell-cell communication from single-cell and spatially resolved transcriptomics
Source code for Liu, Y., Li, J. S. S., Rodiger, J., Comjean, A., Attrill, H., Antonazzo, G., ... & Perrimon, N. (2022). FlyPhoneDB: an integrated web-based resource for cell–cell communication prediction in Drosophila. Genetics, 220(3), iyab235.
Infer and visualize cell-cell communication for single-cell RNA-seq data
User-friendly tool to infer cell-cell interactions and communication from gene expression of interacting proteins
Knowledge-graph-based cell-cell communication inference for spatially resolved transcriptomic data
This repo accompanies the Soelter et al., 2024 manuscript in Cell Communication and Signaling (BMC)
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
Identifying external communication signals using single-cell transcriptomics data
NicheNet: predict active ligand-target links between interacting cells
R package to do the Ligand Receptor Analysis Visualization
20.440 Group Project-Intercellular Communication in vivo
Differential communication analysis for scRNAseq datasets based on expression products
LIANA x Tensor-cell2cell Protocols
Spatial direct messaging detected by bivariate Moran
Bioinfo scripts for the analyses described in EXPERIMENTAL PROCEDURES section of "Structured wound angiogenesis instructs mesenchymal barrier compartments in the regenerating nerve" manuscript
LIANA: a LIgand-receptor ANalysis frAmework
Investigate cell-cell signaling, by analyzing ligand-receptor interactions in spatial transcriptomic data
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