An entropy-based metric for assessing the purity of single cell populations
An entropy-based metric for assessing the purity of single cell populations
About this item
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Author / Creator
Liu, Baolin , Li, Chenwei , Li, Ziyi , Wang, Dongfang , Ren, Xianwen and Zhang, Zemin
Publisher
London: Nature Publishing Group UK
Journal title
Language
English
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Publication information
Publisher
London: Nature Publishing Group UK
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Scope and Contents
Contents
Single-cell RNA sequencing (scRNA-seq) is a versatile tool for discovering and annotating cell types and states, but the determination and annotation of cell subtypes is often subjective and arbitrary. Often, it is not even clear whether a given cluster is uniform. Here we present an entropy-based statistic, ROGUE, to accurately quantify the purity...
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Full title
An entropy-based metric for assessing the purity of single cell populations
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TN_cdi_doaj_primary_oai_doaj_org_article_c2ec1f439bfd4b2a981eb0a38bcf1f51
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_c2ec1f439bfd4b2a981eb0a38bcf1f51
Other Identifiers
ISSN
2041-1723
E-ISSN
2041-1723
DOI
10.1038/s41467-020-16904-3
