Computer ScienceBiologyMedicine

M. Andreatta, Santiago J. Carmona

2021.4.14Computational and Structural Biotechnology Journal

DOI: 10.1016/j.csbj.2021.06.043

tlooto Summary

The 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.

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

Citation format

ANDREATTA, M.; CARMONA, Santiago J. Ucell: Robust and scalable single-cell gene signature scoring. Computational and Structural Biotechnology Journal, 2021, 19: 3796–3798.