ArticleImmunity2015
Thinking outside the gate: single-cell assessments in multiple dimensions.
Article in Immunity, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 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
29 citing papers in PubMed.
- Trial
- Guidelines for the use of flow cytometry and cell sorting in immunological studies (third edition).European journal of immunology · 2021Review
- Development of an objective index, neural activity score (NAS), reveals neural network ontogeny and treatment effects on microelectrode arrays.Scientific reports · 2021Article
- Single-cell peripheral immunoprofiling of Alzheimer's and Parkinson's diseases.Science advances · 2020Article
- A Cancer Biologist's Primer on Machine Learning Applications in High-Dimensional Cytometry.Cytometry. Part A : the journal of the International Society for Analytical Cytology · 2020Review
- Identification of a super-functional Tfh-like subpopulation in murine lupus by pattern perception.eLife · 2020Article
- Review
- Computational Analysis of Multiparametric Flow Cytometric Data to Dissect B Cell Subsets in Vaccine Studies.Cytometry. Part A : the journal of the International Society for Analytical Cytology · 2020Article
- Improving the Rigor and Reproducibility of Flow Cytometry-Based Clinical Research and Trials Through Automated Data Analysis.Cytometry. Part A : the journal of the International Society for Analytical Cytology · 2020Article
- Guidelines for the use of flow cytometry and cell sorting in immunological studies (second edition).European journal of immunology · 2019Article
- Article
- Data-Driven Flow Cytometry Analysis.Methods in molecular biology (Clifton, N.J.) · 2019Review
- A Computational Pipeline for the Diagnosis of CVID Patients.Frontiers in immunology · 2019Article
- Supervised Machine Learning with CITRUS for Single Cell Biomarker Discovery.Methods in molecular biology (Clifton, N.J.) · 2019Article
- A standardized immune phenotyping and automated data analysis platform for multicenter biomarker studies.JCI insight · 2018Article
- CytoML for cross-platform cytometry data sharing.Cytometry. Part A : the journal of the International Society for Analytical Cytology · 2018Article
- flowLearn: fast and precise identification and quality checking of cell populations in flow cytometry.Bioinformatics (Oxford, England) · 2018Article
- DAFi: A directed recursive data filtering and clustering approach for improving and interpreting data clustering identification of cell populations from polychromatic flow cytometry data.Cytometry. Part A : the journal of the International Society for Analytical Cytology · 2018Article
- ImmPort, toward repurposing of open access immunological assay data for translational and clinical research.Scientific data · 2018Article
- High throughput automated analysis of big flow cytometry data.Methods (San Diego, Calif.) · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
18 authors.
Funding
Abstract
PubMed holds no abstract for this paper.
Indexed as
Identifiers
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.