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Fully-automated and ultra-fast cell-type identification using specific marker combinations from single-cell transcriptomic data

2019-10-21

Abstract excerpt

Single-cell transcriptomics enables systematic charting of cellular composition of complex tissues. Identification of cell populations often relies on unsupervised clustering of cells based on the similarity of their scRNA-seq profiles, followed by manual annotation of cell clusters using established marker genes. However, manual selection of marker genes is a time-consuming process that may lead to sub-optimal an...

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Literature Corpus work
644f2048-7604-5d53-a8eb-562d6ed361be
DOI
10.1101/812131
Open publication

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Fully-automated and ultra-fast cell-type identification using specific marker combinations from single-cell transcriptomic dataDOI 10.1101/812131
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