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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.

Label evolution

Installation

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

pip install cell2home

Usage and Documentation

Please refer to ReadTheDocs, which comes with a demo notebook (run time <5 minutes) and function docstrings.

Citation

Coming soon!

Metadata

Release files for cell2home 0.0.1

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Source distribution for cell2home 0.0.1
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Table of built distributions (wheels) for cell2home 0.0.1
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Total release size: 16.1 kB

Release files / cell2home-0.0.1.tar.gz

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