SPCoral: A package for Spatial Cross multi-Omics Registration and AnaLysis
Brief Introduction
SPCoral is a Python package designed for diagonal integration of spatial multi-omics data from adjacent tissue slices. It comprises two modules: Alignment and Integration. The alignment module employs graph neural networks and Gromov-Wasserstein optimal transport to perform slice-to-slice positional alignment without relying on shared molecular features. The integration module builds upon these aligned coordinates, using a cross-modal attention mechanism to fuse molecular features across different modalities and resolutions. SPCoral supports a variety of downstream applications, including spatial domain identification, cross-omics prediction, spatial cell-cell communication inference, and other spatial multi-omics analyses.
Installation
pip:
pip install spcoral
github:
cd spcoral
python setup.py build
python setup.py install
1 maintainer
Metadata
1 maintainer
Release files for spcoral 0.0.1
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
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| spcoral-0.0.1.tar.gz | 51.2 kB | Without provenance | Details for spcoral-0.0.1.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| spcoral-0.0.1-py3-none-any.whl | Python 3 | none | any | Details for spcoral-0.0.1-py3-none-any.whl |
Total release size: 111.1 kB
Release files / spcoral-0.0.1.tar.gz
| Download URL | spcoral-0.0.1.tar.gz |
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| Size | 51.2 kB |
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Release files / spcoral-0.0.1-py3-none-any.whl
| Download URL | spcoral-0.0.1-py3-none-any.whl |
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| Size | 59.9 kB |
| Tags | Python 3 |
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