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Stats, Volume 9, Issue 1

2026 February - 21 articles

Cover Story: The single-cell spatial transcriptomics (ST) data produced by recent biotech CosMx contain a vast amount of information about cancer tissue samples, thus have great potential for cancer research via the detection of ST-Community which is a collection of cells with distinct cell-type composition and similar neighboring patterns based on nearby cell percentages. This article provides a novel and more informative disk compositional data (DCD) method to process the single-cell ST data, and develops an innovative TMHC computation method to detect ST-Communities from processed DCD data. Extensive simulation studies and analysis of CosMx breast cancer ST data show that our DCD-TMHC computation method detects ST-Communities with superior and interpretable results, especially in terms of assessment for different cancer categories. View this paper
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Stats - ISSN 2571-905X
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