1176-CytoCommunity: Decoding Tissue Cellular Neighborhoods
The paper introduce CytoCommunity, a novel graph neural network algorithm designed to identify tissue cellular neighborhoods (TCNs) from spatial omics data. By leveraging both unsupervised and supervised learning, the tool maps cell phenotypes and their physical distributions to discover functional spatial domains without requiring intermediate clustering. Researchers demonstrated its superior performance over existing methods in accurately defining tissue compartments across diverse technologies, such as CODEX and MERFISH. In clinical applications, the algorithm successfully identified…
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