Article

Reconstructing developmental and disease progression with sample-level embeddings

2025-12-12

Abstract excerpt

Single-cell genomics is transformative for characterizing cellular heterogeneity, but many translational questions require comparing samples rather than individual cells. Typical analyses compare “case” and “control” groups, ignoring sample-level variation within them. Here we present scSLIDE, a framework that transforms each sample’s single-cell data into a compact profile describing where its cells fall in high-...

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Literature Corpus work: d426b96b-1b3c-5309-a458-1fa37a941c2a
DOI: 10.64898/2025.12.10.693462

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