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Linear-time cluster ensembles of large-scale single-cell RNA-seq and multimodal data
2021
Genome Research
A fundamental task in single-cell RNA-seq (scRNA-seq) analysis is the identification of transcriptionally distinct groups of cells. Numerous methods have been proposed for this problem, with a recent focus on methods for the cluster analysis of ultra-large scRNA-seq data sets produced by droplet-based sequencing technologies. Most existing methods rely on a sampling step to bridge the gap between algorithm scalability and volume of the data. Ignoring large parts of the data, however, often
doi:10.1101/gr.267906.120
pmid:33627473
pmcid:PMC8015854
fatcat:iyaka44c6zauxkrhra5ayg7q4q