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