RT Journal Article
SR Electronic
T1 UCell: robust and scalable single-cell gene signature scoring
JF bioRxiv
FD Cold Spring Harbor Laboratory
SP 2021.04.13.439670
DO 10.1101/2021.04.13.439670
A1 Massimo Andreatta
A1 Santiago J. Carmona
YR 2021
UL http://biorxiv.org/content/early/2021/04/14/2021.04.13.439670.abstract
AB 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/UCellCompeting Interest StatementThe authors have declared no competing interest.