Computational and Structural Biotechnology Journal · 2021 · 1.1K citations · 12 references
Life SciencesBioinformaticsBiostatisticsComputational BiologyGenomicsSingle-cell BioinformaticsExpression Signature DiscoverySingle-cell GenomicsSingle-cell Rna Sequencing AnalysisSingle-cell TranscriptomicsCell-type Signature ExtractionGene Expression SignaturesMann - Whitney U TestSignature Matrix ConstructionSingle-cell Data PreprocessingSingle-cell Expression SignaturesSingle-cell Gene Expression Profiling
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.
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Comprehensive Integration of Single-Cell Data
Tim Stuart, Andrew Butler, Paul Hoffman et al. · Cell · 2019 · 16.9K citations · Full text
Integrated analysis of multimodal single-cell data
Yuhan Hao, Stephanie Hao, Erica Andersen‐Nissen et al. · Cell · 2021 · 16K citations · Full text
The Molecular Signatures Database Hallmark Gene Set Collection
Arthur Liberzon, Chet Birger, Helga Thorvaldsdóttir et al. · Cell Systems · 2015 · 14.5K citations · Full text
SCENIC: single-cell regulatory network inference and clustering
Sara Aibar, Carmen Bravo González‐Blas, Thomas Moerman et al. · Nature Methods · 2017 · 6.9K citations · Full text