Metadata-Version: 2.4
Name: cell2home
Version: 0.0.1
Summary: Analyse cell homing and migration in single-cell datasets
Author-email: "Olli Dufva, Krzysztof Polanski" <od295@cam.ac.uk>
Description-Content-Type: text/markdown
Classifier: License :: OSI Approved :: MIT License
License-File: LICENSE
Requires-Dist: scanpy
Requires-Dist: muon
Requires-Dist: mudata
Project-URL: Home, https://github.com/Teichlab/cell2home

# Cell2home

Cell2home is a tool to computationally infer cell-cell homing interactions and make predictions of which cells attract each other in single-cell datasets. For example, cell2home predicts which cell types (such as vascular, fibroblast and other immune cells) attract immune cell subsets based on a curated chemoattractant receptor-ligand network. Cell2home first computes chemoattractant receptor-ligand interaction scores and then summarises these homing signals across receptors into a homing affinity score between a migrating immune cell and an attracting cell, repeating this across all migrating and attracting cell types to achieve a global immune cell homing landscape.

<p align="center"><img src="https://github.com/Teichlab/cell2home/blob/main/figure.png" alt="Label evolution" width="80%" ></p>

## Installation

The package is available on PyPI (run time <5 minutes):

```bash
pip install cell2home
```

## Usage and Documentation

Please refer to [ReadTheDocs](https://cell2home.readthedocs.io/en/latest/), which comes with a demo notebook (run time <5 minutes) and function docstrings.

## Citation

Coming soon!

