Researchers integrate scRNA-seq, spatial transcriptomics, and histology imaging data to show that spatial cellular architecture predicts glioblastoma prognosis.
By exploring the inner workings of individual cells, rather than averaging bulk populations, researchers identify rare and important cell subtypes.
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