Article
Explainable multi-view framework for dissecting intercellular signaling from highly multiplexed spatial data
2020-05-10
Abstract excerpt
The advancement of technologies to measure highly multiplexed spatial data requires the development of scalable methods that can leverage the spatial information. We present MISTy, a flexible, scalable and explainable machine learning framework for extracting interactions from any spatial omics data. MISTy builds multiple views focusing on different spatial or functional contexts to dissect different effects, such...
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Identifiers and source
- Literature Corpus work
- b2ef2810-43b5-5fc5-9b73-7d1ea6d07127
- DOI
- 10.1101/2020.05.08.084145