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...

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Detalles Bibliográficos
Autores principales: Tanevski, Jovan, Flores, Ricardo Omar Ramirez, Gabor, Attila, Schapiro, Denis, Saez-Rodriguez, Julio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Method
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

Internet

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

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