BioinformaticsbioRxivPreprint
Heterogeneity-driven adaptive scale graph learning for subcellular spatial transcriptomics
Wanwan Shi, Cong Shen, Ying Liu…·Jiawei Luo
This paper introduces HAST, a framework for spatial transcriptomics that adapts graph learning scales to tissue heterogeneity, improving spatial structure identification and tumor region characterization.
DOI 10.64898/2026.05.19.726162