Cell type matching in single-cell RNA-sequencing data using FR-Match

Reference cell type atlases powered by single cell transcriptomic profiling technologies have become available to study cellular diversity at a granular level. We present FR-Match for matching query datasets to reference atlases with robust and accurate performance for identifying common and novel cell types and suboptimally clustered cell types in the query data. FR-Match shows excellent performance for cross-platform, cross-sample type, and cross-tissue region cell type matching.