Benchmarking clustering algorithms on estimating the number of cell types from single-cell RNA-sequencing data

Background A key task in single-cell RNA-seq (scRNA-seq) data analysis is to accurately detect the number of cell types in the sample, which can be critical for downstream analyses such as cell type identification. Various scRNA-seq data clustering algorithms have been specifically designed to autom...

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