MultiGlue is a novel spatially aware graph contrastive learning method that fully exploits multi-modality information, spatial coordinates, and prior biological knowledge for the integrative and generative analysis of spatial multi-omics data. MultiGlue can be applied for both dual-omics and triplet-omics data including spatial transcriptome–proteome, transcriptome–epigenome and transcriptome–epigenome–proteome data. MultiGlue is designed to be user-friendly, scalable, and computationally efficient framework. It completed the analysis of spatial triplet-omics data comprising approximately 9,000 spots within 2 minutes of wall clock time.
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Release files for MultiGlue-3M 1.0.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
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| multiglue_3m-1.0.0.tar.gz | 2.0 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| multiglue_3m-1.0.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 4.1 kB
Release files / multiglue_3m-1.0.0.tar.gz
| Download URL | multiglue_3m-1.0.0.tar.gz |
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| Size | 2.0 kB |
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Release files / multiglue_3m-1.0.0-py3-none-any.whl
| Download URL | multiglue_3m-1.0.0-py3-none-any.whl |
|---|---|
| Size | 2.0 kB |
| Tags | Python 3 |
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