096-TrimNN: Analyzing Cellular Communities

This article introduces TrimNN, a novel graph-based deep learning framework designed to characterize cellular community (CC) motifs within complex tissues using spatial transcriptomics and proteomics data. Unlike traditional top-down clustering approaches, TrimNN employs a bottom-up strategy to identify conserved spatial patterns of cell interactions, offering improved interpretability and general...去小宇宙查看完整单集简介
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