ArticleNature reviews. Immunology2017
Science not art: statistically sound methods for identifying subsets in multi-dimensional flow and mass cytometry data sets.
Article in Nature reviews. Immunology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
14 citing papers in PubMed.
- Machine Learning Methods in Clinical Flow Cytometry.Cancers · 2025Review
- Lifting the curse from high-dimensional data: automated projection pursuit clustering for a variety of biological data modalities.GigaScience · 2025Article
- INFLECT: an R-package for cytometry cluster evaluation using marker modality.BMC bioinformatics · 2022Article
- Comprehensive multi-omics single-cell data integration reveals greater heterogeneity in the human immune system.iScience · 2022Article
- New interpretable machine-learning method for single-cell data reveals correlates of clinical response to cancer immunotherapy.Patterns (New York, N.Y.) · 2021Article
- High-Dimensional Immune Monitoring for Chimeric Antigen Receptor T Cell Therapies.Current hematologic malignancy reports · 2021Review
- Review
- B cell alterations during BAFF inhibition with belimumab in SLE.EBioMedicine · 2019Article
- Automated subset identification and characterization pipeline for multidimensional flow and mass cytometry data clustering and visualization.Communications biology · 2019Article
- RefCell: multi-dimensional analysis of image-based high-throughput screens based on 'typical cells'.BMC bioinformatics · 2018Article
- Mixed-effects association of single cells identifies an expanded effector CD4Science translational medicine · 2018Article
- QFMatch: multidimensional flow and mass cytometry samples alignment.Scientific reports · 2018Article
- Article
- Response to Orlova et al. "Science not art: statistically sound methods for identifying subsets in multi-dimensional flow and mass cytometry data sets".Nature reviews. Immunology · 2017Article
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
PubMed holds no abstract for this paper.
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Identifiers
29269766What 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.