UCell and pyUCell: single-cell gene signature scoring for R and Python.
basic_science · Level V
Where this comes from
- Record sourced from PubMed, PMID 41665985.
- Also identified by DOI 10.1093/bioinformatics/btag055 and PMC identifier 12925249.
- Licence recorded as CC BY.
- The licence permits redistribution, so the abstract is shown in full and the full text is available from the publisher.
Abstract
Gene signature scoring provides a simple yet powerful approach for quantifying biological signals within single-cell omics datasets. UCell and pyUCell offer fast and robust implementations of rank-based signature scoring for R and Python, respectively, integrating seamlessly with leading single-cell analysis ecosystems such as Seurat, Bioconductor, and scanpy/scverse. UCell v2 is distributed as an R package by BioConductor (https://bioconductor.org/packages/UCell/) and as a Python package by pyPI (https://pypi.org/project/pyucell/).
Medical subject headings
- Single-Cell Analysis
- Software
- Gene Expression Profiling
- Computational Biology
- Transcriptome