Census: accurate, automated, deep, fast, and hierarchical scRNA-seq cell-type annotation

Abstract

We developed Census, an automated, hierarchical cell-type identification method for scRNA-seq data that can deeply annotate normal cells in mammalian tissues and identify malignant cells and their likely cell of origin. When benchmarked on 44 atlas-scale normal and cancer, human and mouse tissues, Census significantly outperforms state-of-the-art methods across multiple metrics. Census is a fast and fully automated method, although users can seamlessly train their own models for customized applications.