Identifying common and novel cell types in single-cell RNA-sequencing data using FR-Match

Zhang, Y.; Aevermann, B.; Gala, R.; Scheuermann, R. H.

doi:10.1101/2021.10.17.464718

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bioRxiv · 10.1101/2021.10.17.464718

Identifying common and novel cell types in single-cell RNA-sequencing data using FR-Match

Zhang, Y.·Aevermann, B.·Gala, R.·Scheuermann, R. H.

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Abstract

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.

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Zhang, Y., Aevermann, B., Gala, R., Scheuermann, R. H.. 2021-10-17. Identifying common and novel cell types in single-cell RNA-sequencing data using FR-Match. https://doi.org/10.1101/2021.10.17.464718

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