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AtlasLens: Metadata-centric exploration and analysis of single-cell atlases

2026-07-10

Abstract excerpt

<h4>Motivation</h4> The rapid expansion of single-cell RNA sequencing (scRNA-seq) atlases has generated datasets comprising millions of cells annotated with increasingly rich metadata, including tissue, cell type, disease status, sex, age, treatment, and temporal information. Biological questions frequently require simultaneous interrogation of multiple metadata dimensions, such as identifying specific cell popul...

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Literature Corpus work
2f6c9bfa-a066-5f42-8eb1-28a38eedeac9
DOI
10.64898/2026.07.10.735823
Open publication

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