Phenotype-associated spatial biomarker discovery in spatial transcriptomics with spHOT
Spatial transcriptomics now profiles patient cohorts at single-cell resolution, enabling analysis of disease-associated cell organization in situ. However, discovering such spatial biomarkers remains challenging because relevant structures occur at unknown scales and cell- or niche-level annotations are rarely available. We present spHOT, a deep learning framework that localizes…
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