LARIS
Ligand And Receptor Interaction in Spatial transcriptomics data
LARIS is a Python package for analyzing ligand-receptor interactions in spatial transcriptomics data. It identifies spatially-specific cell-cell communication patterns by integrating gene expression, spatial information, and cell type annotations.
Feature
- Spatial LR interaction strength: Calculate ligand-receptor interaction scores for each individual cell
- Spatial specificity: Identify LR pairs with significant spatial variable patterns
- Inference at cell type level: Compute sender-receiver cell type interaction scores
- Spatial neighborhoods: Analyze interactions in the context of spatial cell type neighborhoods
Documentation
Installation
You could simply install LARIS via pip in your conda environment:
pip install laris
For the development version in GitHub, you could install via:
pip install git+https://github.com/genecell/LARIS.git
Citation
If LARIS is useful for your research, please consider citing M. Dai, T. Török, D. Sun, et al., LARIS enables accurate and efficient ligand and receptor interaction analysis in spatial transcriptomics, bioRxiv (2025).
1 maintainer
Metadata
1 maintainer
Release files for laris 0.9.4
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Source distribution (sdist)
| File | Size | Uploaded | |
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| laris-0.9.4.tar.gz | 313.2 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| laris-0.9.4-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 627.0 kB
Release files / laris-0.9.4.tar.gz
| Download URL | laris-0.9.4.tar.gz |
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| Size | 313.2 kB |
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Release files / laris-0.9.4-py3-none-any.whl
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| Size | 313.8 kB |
| Tags | Python 3 |
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