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Explainable multiview framework for dissecting spatial relationships from highly multiplexed data
The advancement of highly multiplexed spatial technologies requires scalable methods that can leverage spatial information. We present MISTy, a flexible, scalable, and explainable machine learning framework for extracting relationships from any spatial omics data, from dozens to thousands of measure...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9011939/ https://www.ncbi.nlm.nih.gov/pubmed/35422018 http://dx.doi.org/10.1186/s13059-022-02663-5 |