977-CoCo-ST: for Spatial Transcriptomics Domain Detection
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 that CoCo-ST excels at detecting early-stage precancerous regions and characterizing complex cell-cell communication patterns during tumor evolution. It effectively handles batch-effect correction…
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