UCell: Robust and scalable single-cell gene signature scoring.
Détails
Télécharger: 34285779_BIB_ADC3FAC598DC.pdf (711.14 [Ko])
Etat: Public
Version: Final published version
Licence: CC BY 4.0
Etat: Public
Version: Final published version
Licence: CC BY 4.0
ID Serval
serval:BIB_ADC3FAC598DC
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Institution
Titre
UCell: Robust and scalable single-cell gene signature scoring.
Périodique
Computational and structural biotechnology journal
ISSN
2001-0370 (Print)
ISSN-L
2001-0370
Statut éditorial
Publié
Date de publication
2021
Peer-reviewed
Oui
Volume
19
Pages
3796-3798
Langue
anglais
Notes
Publication types: Journal Article
Publication Status: epublish
Publication Status: epublish
Résumé
UCell is an R package for evaluating gene signatures in single-cell datasets. UCell signature scores, based on the Mann-Whitney U statistic, are robust to dataset size and heterogeneity, and their calculation demands less computing time and memory than other available methods, enabling the processing of large datasets in a few minutes even on machines with limited computing power. UCell can be applied to any single-cell data matrix, and includes functions to directly interact with Seurat objects. The UCell package and documentation are available on GitHub at https://github.com/carmonalab/UCell.
Mots-clé
Cell type, Gene set enrichment, Gene signature, Module scoring, Single-cell
Pubmed
Web of science
Open Access
Oui
Création de la notice
26/07/2021 8:26
Dernière modification de la notice
12/01/2022 7:12