CellphoneDB
Cell Signaling Database
A comprehensive database of human cell signaling interactions and their relevance to single-cell transcriptomics data analysis
CellPhoneDB can be used to search for a particular ligand/receptor, or interrogate your own HUMAN single-cell transcriptomics data.
342 stars
10 watching
53 forks
Language: Jupyter Notebook
last commit: 4 months ago
Linked from 1 awesome list
Related projects:
Repository | Description | Stars |
---|---|---|
| An R-based framework to analyze cell-cell communication from single-cell RNA-Seq data by integrating multiple methods and resources | 184 |
| An R package that infers cell-cell communication and ligand-receptor-target networks from spatially resolved transcriptomic data | 61 |
| Classifies cellular phenotype in single-cell RNA sequencing data using neural networks | 24 |
| Software for analyzing cell shape changes and dynamic distributions of fluorescent reporters at the cell membrane. | 7 |
| A platform for collaborative analysis of large RNA expression datasets | 125 |
| Tools for analyzing aligned single-cell data from sequencing experiments | 118 |
| A software framework for visualizing single-cell data and analyzing gene expression patterns in cells. | 106 |
| An open-source tool for querying and annotating large-scale single-cell RNA-seq data using similarity searches. | 87 |
| Software package for interactive analysis and visualization of large single-cell omics datasets | 25 |
| Predicts ligand-receptor interactions based on gene expression data and integrates prior knowledge to model intercellular communication. | 497 |
| Analyzes single cell expression data to infer cellular lineages and clustering structures | 9 |
| A deep learning library for analyzing biological images at the single-cell level | 431 |
| A Julia toolkit for analyzing high-dimensional cellular profiles | 13 |
| An exploratory tool for analyzing intercellular communication from single-cell transcriptional data. | 12 |
| Automated tool for classifying cells in scRNA data and inferring copy number profiles of malignant cells. | 94 |