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UCell: Robust and scalable single-cell gene signature scoring
- 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