Identifying cell types from single-cell RNA sequencing data automatically

Identifying different types of cells within a tissue or an organ can be very challenging and time-consuming. Methods to identify cell types from single-cell RNA sequencing data have been proposed, but they all fall short in discovering potentially new cell types. Researchers from the Wellcome Sanger Institute and EMBL's European Bioinformatics Institute (EMBL-EBI) have created a new method called Single Cell Clustering Assessment Framework (SCCAF) that bridges this gap.

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