Article

Self-supervised learning for a gene program-centric view of cell states

2026-03-26

Abstract excerpt

Single-cell omics has extended the biological interrogation of cell state from examining the expression of individual genes to unbiased profiling of tens of thousands of genes at once. However, extracting biological insights from such high-dimensional data remains challenging. To enable downstream analyses, many computational approaches compress cell state into a single latent representation. This can obscure the...

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Literature Corpus work: 9ba30f69-22ff-519d-8d37-417898eed338
DOI: 10.64898/2026.03.24.713961

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