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
R toolkit for inference, visualization and analysis of cell-cell communication from single-cell and spatially resolved transcriptomics
Learning cell communication from spatial graphs of cells
MultiNicheNet: a flexible framework for differential cell-cell communication analysis from multi-sample multi-condition single-cell transcriptomics 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
Spatial analysis toolkit for single cell multiplexed tissue data
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
HistoJS: Web-Based Analytical Tool for Multiplexed Images. Limited Github Online Demo 👇
Links to interesting courses, tutorials, papers, software etc. related to single-cell omics data analysis
Infer and visualize cell-cell communication for single-cell RNA-seq data
Extracellular vesicle-derived miRNA-mediated cell-cell communication inference for single-cell transcriptomic data
Infer cell-cell communications based on feed-forward neural network
Multi-level Graph Autoencoder (GAE) to clarify cell cell interactions and gene regulatory network inference from spatially resolved transcriptomics
Differential communication analysis for scRNAseq datasets based on expression products
Goo is the Blender library for simulating biological cells, tissues and embryos in 3D.
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