ArticleBioinformatics (Oxford, England)2026
UCell and pyUCell: single-cell gene signature scoring for R and Python.
Article in Bioinformatics (Oxford, England), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
9 citing papers in PubMed.
- Article
- Benchmarking methods for inferring single-cell transcription factor activity using large-scale perturbation sequencing data.Briefings in bioinformatics · 2026Article
- Cell autonomous regional differences in oligodendrocyte lineage development and responses to oncohistone H3.3 K27M.Nature communications · 2026Article
- AbioRxiv : the preprint server for biology · 2026Article
- Single-cell and spatial analyses reveal endothelial-macrophage inflammatory crosstalk in dry age-related macular degeneration.Journal of translational medicine · 2026Article
- Gateway: patient olfactory neurons for large-scale discovery in neurodegenerative disease.bioRxiv : the preprint server for biology · 2026Article
- Spatially resolved ex vivo drug response profiling in SMARCB1-deficient sinonasal carcinoma.EMBO molecular medicine · 2026Article
- Single-fiber morphometry and spatial transcriptomics reveal selective oxidative muscle fiber atrophy in non-metastatic breast cancer.medRxiv : the preprint server for health sciences · 2026Article
- Single-nucleus profiling reveals age-associated remodeling opposed by parity in the postmenopausal human ovary.bioRxiv : the preprint server for biology · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
summaryGene 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. AVAILABILITY AND IMPLEMENTATION: 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/).
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.