Phiclust: a clusterability measure for single-cell transcriptomics reveals phenotypic subpopulations.
Clusterability
Random matrix theory
scRNA-seq
Journal
Genome biology
ISSN: 1474-760X
Titre abrégé: Genome Biol
Pays: England
ID NLM: 100960660
Informations de publication
Date de publication:
10 01 2022
10 01 2022
Historique:
received:
11
06
2021
accepted:
23
12
2021
entrez:
11
1
2022
pubmed:
12
1
2022
medline:
5
4
2022
Statut:
epublish
Résumé
The ability to discover new cell phenotypes by unsupervised clustering of single-cell transcriptomes has revolutionized biology. Currently, there is no principled way to decide whether a cluster of cells contains meaningful subpopulations that should be further resolved. Here, we present phiclust (ϕ
Identifiants
pubmed: 35012604
doi: 10.1186/s13059-021-02590-x
pii: 10.1186/s13059-021-02590-x
pmc: PMC8751334
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
18Informations de copyright
© 2022. The Author(s).
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