UCell: Robust and scalable single-cell gene signature scoring

By Massimo Andreatta, Santiago J. Carmona. bioRxiv, 2021

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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

Subfields: Cancer Research, Molecular Biology

View Paper: https://www.semanticscholar.org/paper/8b9c1b99a5b857331da15cdca3ab74f78e3f2d2f