Researchers have developed CoCo-ST, a novel computational framework designed to identify both prominent and subtle biological structures within spatial transcriptomics data. By utilizing a graph contrastive learning approach that compares target tissues against background samples, the tool successfully isolates unique local features often missed by traditional algorithms. The study demonstrates th...去小宇宙查看完整单集简介
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