This article introduces CODA, a computational framework designed to integrate and analyze multi-sample spatial transcriptomics (ST) data. The authors address common technical challenges such as tissue distortion, non-overlapping regions, and batch effects by utilizing a shared low-dimensional feature space for global and local alignment. Unlike existing methods that focus solely on spatial registr...去小宇宙查看完整单集简介
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