Article

Interpretable gene networks from single-cell foundation models reveal conserved neurogenic dysfunction in Parkinson’s disease

2026-07-27

Abstract excerpt

Interpreting large-scale single-cell transcriptomic data remains a major challenge for understanding disease mechanisms. Recent single-cell foundation models learn rich representations of gene relationships across millions of cells, yet methods for translating these embeddings into biologically interpretable gene networks remain limited. Here we present scGENet, a computational framework that constructs context-sp...

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Literature Corpus work: ea9037d0-3738-5000-9e46-67b3266778a2
DOI: 10.64898/2026.07.26.740813

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