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Doublet identification in single-cell sequencing data using scDblFinder

2021; Faculty of 1000; Volume: 10; Linguagem: Inglês

10.12688/f1000research.73600.1

ISSN

2046-1402

Autores

Pierre‐Luc Germain, Aaron T. L. Lun, Will Macnair, Mark D. Robinson,

Tópico(s)

Immune cells in cancer

Resumo

Doublets are prevalent in single-cell sequencing data and can lead to artifactual findings. A number of strategies have therefore been proposed to detect them. Building on the strengths of existing approaches, we developed

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