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.
The package is available on PyPI (run time <5 minutes):
pip install cell2homePlease refer to ReadTheDocs, which comes with a demo notebook (run time <5 minutes) and function docstrings.
Coming soon!