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Benchmarking cell type annotation in spatial transcriptomics: resolving cellular hierarchies, biological fidelity, and dynamic cell states

2026-08-28

Abstract excerpt

<title>Abstract</title> <p>Spatial transcriptomics enables the quantification of gene expression within its native tissue context, providing unprecedented insight into tissue architecture, cellular ecosystems, and local cell–cell interactions at regional and single-cell resolution. Accurate cell type annotation is a critical prerequisite for interpreting these data and is often the first and most essential step i...

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Literature Corpus work: 9d6c8241-cdac-5c84-a680-d0e0744d8e16
DOI: 10.21203/rs.3.rs-10731867/v1

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