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UCell: Robust and scalable single-cell gene signature scoring

Authors :
Massimo Andreatta
Santiago J. Carmona
Source :
Computational and Structural Biotechnology Journal, Vol 19, Iss , Pp 3796-3798 (2021)
Publication Year :
2021
Publisher :
Elsevier, 2021.

Abstract

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.

Details

Language :
English
ISSN :
20010370
Volume :
19
Issue :
3796-3798
Database :
Directory of Open Access Journals
Journal :
Computational and Structural Biotechnology Journal
Publication Type :
Academic Journal
Accession number :
edsdoj.7c04997214beab95a8de92cf94997
Document Type :
article
Full Text :
https://doi.org/10.1016/j.csbj.2021.06.043