ArticleeLife2020
Removing unwanted variation with CytofRUV to integrate multiple CyTOF datasets.
Article in eLife, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.
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
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
26 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Automated and reproducible cell identification in mass cytometry using neural networks.Briefings in bioinformatics · 2023Pooled it
- CytoBatchFlagR: A Comprehensive Framework to Objectively Assess High-Parameter Cytometry Data for Batch Effects.Cytometry. Part A : the journal of the International Society for Analytical Cytology · 2026Article
- ImmunoPheno: A Computational Framework for Data-Driven Design and Analysis of Immunophenotyping Experiments.bioRxiv : the preprint server for biology · 2026Article
- Conceptualizing Experimental Controls Using the Potential Outcomes Framework.The American statistician · 2025Article
- ADTnorm: robust integration of single-cell protein measurement across CITE-seq datasets.Nature communications · 2025Article
- Venetoclax dose escalation rapidly activates a BAFF/BCL-2 survival axis in chronic lymphocytic leukemia.Blood · 2024Article
- RUCova: Removal of Unwanted Covariance in mass cytometry data.Bioinformatics (Oxford, England) · 2024Article
- ImmCellTyper facilitates systematic mass cytometry data analysis for deep immune profiling.eLife · 2024Article
- ADTnorm: Robust Integration of Single-cell Protein Measurement across CITE-seq Datasets.Research square · 2024Article
- SuperCellCyto: enabling efficient analysis of large scale cytometry datasets.Genome biology · 2024Article
- Approaching Mass Cytometry Translational Studies by Experimental and Data Curation Settings.Methods in molecular biology (Clifton, N.J.) · 2024Review
- Cytomulate: accurate and efficient simulation of CyTOF data.Genome biology · 2023Article
- sccomp: Robust differential composition and variability analysis for single-cell data.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- Computational Methods for Single-Cell Proteomics.Annual review of biomedical data science · 2023Review
- Performance of spectral flow cytometry and mass cytometry for the study of innate myeloid cell populations.Frontiers in immunology · 2023Article
- cyCombine allows for robust integration of single-cell cytometry datasets within and across technologies.Nature communications · 2022Article
- CytofIn enables integrated analysis of public mass cytometry datasets using generalized anchors.Nature communications · 2022Article
- Immune cell profiling in atherosclerosis: role in research and precision medicine.Nature reviews. Cardiology · 2022Review
- Guidelines for the use of flow cytometry and cell sorting in immunological studies (third edition).European journal of immunology · 2021Review
- Multiplexed single-cell analysis of organoid signaling networks.Nature protocols · 2021Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
Mass cytometry (CyTOF) is a technology that has revolutionised single-cell biology. By detecting over 40 proteins on millions of single cells, CyTOF allows the characterisation of cell subpopulations in unprecedented detail. However, most CyTOF studies require the integration of data from multiple CyTOF batches usually acquired on different days and possibly at different sites. To date, the integration of CyTOF datasets remains a challenge due to technical differences arising in multiple batches. To overcome this limitation, we developed an approach called CytofRUV for analysing multiple CyTOF batches, which includes an R-Shiny application with diagnostic plots. CytofRUV can correct for batch effects and integrate data from large numbers of patients and conditions across batches, to confidently compare cellular changes and correlate these with clinically relevant outcomes.
Indexed as
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What OpenQuestion holds
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.