Article

scConcept enables concept-level exploration of single-cell transcriptomic data

2026-04-24

Abstract excerpt

Interpreting high-dimensional single-cell transcriptomic data remains challenging, as existing methods rely on latent representations or prior knowledge that require extensive post hoc analysis to derive biologically meaningful insights. Topic models provide interpretable gene-level signals but often produce redundant and coarse-grained programs that are difficult to translate into coherent biological concepts. Wh...

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Literature Corpus work: 2f9b76ae-cb33-5044-9013-a6c74f57354e
DOI: 10.64898/2026.04.21.719959

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