METI: Deep profiling of tumor ecosystems by integrating cell morphology and spatial transcriptomics
Jiahui Jiang,
Yunhe Liu,
Jiangjiang Qin
et al.
Abstract:The recent advance of spatial transcriptomics (ST) technique provides valuable insights into the organization and interactions of cells within the tumor microenvironment (TME). While various analytical tools have been developed for tasks such as spatial clustering, spatially variable gene identification, and cell type deconvolution, most of them are general methods lacking consideration of histological features in spatial data analysis. This limitation results in reduced performance and interpretability of the… Show more
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