Benchmarking clustering algorithms on estimating the number of cell types from single-cell RNA-sequencing data
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DOI: 10.1186/s13059-022-02622-0
Abstract: 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… read more here.
Keywords: number cell; cell; number; estimating number ... See more keywords