MultiGATE
MultiGATE is a two-level graph-attention auto-encoder designed for spatial multi-omics analysis. It extracts the latent embeddings of the pixels/spots in spatial multi-omics data, while simultaneously incorporating the regulatory relationship of the cross-modality features through the cross-modality attention mechanism and the spatial relationship of the pixels/spots through the within-modality attention mechanism. In addition to reconstruction loss, a CLIP contrastive loss aligns embeddings across modalities. MultiGATE yields (i) latent representations of pixels for clustering and visualization and (ii) cross-modality attention scores for cross-modality regulatory inference.
Reproduce
The /Reproduce directory contains scripts and resources to reproduce the main figures and results of MultiGATE, including spatial clustering results, cis-regulation, trans-regulation analysis, long-range interaction detection, and protein-gene interaction findings. Please refer to the instructions and scripts in this directory to replicate the key analyses and visualizations presented in the paper.
Usage && installation
Please follow the Tutorials for installation and Usage.
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Release files for MultiGATE 0.1.0
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Source distribution (sdist)
| File | Size | Uploaded | |
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| multigate-0.1.0.tar.gz | 21.9 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| multigate-0.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 45.5 kB
Release files / multigate-0.1.0.tar.gz
| Download URL | multigate-0.1.0.tar.gz |
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| Size | 23.6 kB |
| Tags | Python 3 |
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