Article

Cellohood: multi-granular discovery of cellular neighborhoods with a permutation-invariant set transformer auto-encoder

2025-11-11

Abstract excerpt

Discovering cellular neighborhoods and their roles in disease requires computational methods that consider the full breadth of data and offer multi-level granularity and interpretability. Here, we introduce Cellohood, a permutation-invariant set transformer auto-encoder equipped with a clinical association pipeline. Cellohood encodes full readouts for bags of spatially co-localized cells and supports multi-level a...

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Identifiers and source

Literature Corpus work: 591bcaf2-313b-576c-9fd2-966772aa3def
DOI: 10.1101/2025.11.10.687184

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