Nature Communications (Jan 2023)
Transformer for one stop interpretable cell type annotation
Abstract
Developing computational tools for interpretable cell type annotation in scRNA-seq data remains challenging. Here the authors propose a Transformer-based model for interpretable annotation transfer using biologically understandable entities, and demonstrate its performance on large or atlas datasets.