Michigan State University

Single-cell transformer that treats cells as tokens and tissues as sentences, encoding cell-cell relationships with 100x faster inference than prior pre-trained models.

Transformer framework for single-cell multi-omics that predicts cross-modality relationships using heterogeneous graphs of cells, genes, and proteins.