Article

Coding agents author interpretable single-cell embedding models from the literature

2026-07-09

Abstract excerpt

The single-cell literature catalogs cell states as validated marker-gene programs — a sparse, compositional prior. Conventional embedding methods do not leverage this prior and learn cell-state structure de novo from the expression matrix, producing dense dimensions needing post-hoc interpretation and batch correction. Here we show coding agents can author single-cell embedding models directly from the literature....

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Literature Corpus work: 77d6e592-d6df-5096-a93c-92f93c0e5de6
DOI: 10.64898/2026.07.07.737048

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