Evidence map›Paper›PMID 21265010›Full record

ArticleCytometry. Part A : the journal of the International Society for Analytical Cytology2011

SPICE: exploration and analysis of post-cytometric complex multivariate datasets.

Mario Roederer, Joshua L Nozzi, Martha C Nason

Abstract read
In one paragraph

Article in Cytometry. Part A : the journal of the International Society for Analytical Cytology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 614 papers.

0numbers the graph read from it
0cells of the map it votes in
614citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

614 citing papers in PubMed.

  1. Trial
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  6. Review
  7. Article
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  10. Cytotoxic CD4Parasite immunology · 2026
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  12. Protein-dependent CD4iScience · 2026
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Influenza vaccine-specific CD4NPJ vaccines · 2026
    Article
  18. Article
  19. Article
  20. Article

554 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Mario RoedererVaccine Research Center, NIAID, NIH, Bethesda, MD, USA. Roederer@nih.gov
Joshua L Nozzi
Martha C Nason

Funding

Flow Cytometry CoreZICAI005101 · NIAID · NATIONAL INSTITUTE OF ALLERGY AND INFECTIOUS DISEASES · PI ROEDERER, MARIO · 2009 to 2025
$25.7M
Development Of Flow Cytometric Technologies For Immune AssaysZIAAI005020 · NIAID · NATIONAL INSTITUTE OF ALLERGY AND INFECTIOUS DISEASES · PI ROEDERER, MARIO · 2009 to 2019
$9.6M
Intramural NIH HHS ZIA AI005020
6 · The paper itself

Abstract

Polychromatic flow cytometry results in complex, multivariate datasets. To date, tools for the aggregate analysis of these datasets across multiple specimens grouped by different categorical variables, such as demographic information, have not been optimized. Often, the exploration of such datasets is accomplished by visualization of patterns with pie charts or bar charts, without easy access to statistical comparisons of measurements that comprise multiple components. Here we report on algorithms and a graphical interface we developed for these purposes. In particular, we discuss thresholding necessary for accurate representation of data in pie charts, the implications for display and comparison of normalized versus unnormalized data, and the effects of averaging when samples with significant background noise are present. Finally, we define a statistic for the nonparametric comparison of complex distributions to test for difference between groups of samples based on multi-component measurements. While originally developed to support the analysis of T cell functional profiles, these techniques are amenable to a broad range of datatypes.

Indexed as

AlgorithmsData Interpretation, StatisticalSoftwareComputational BiologyComputer GraphicsFlow CytometryHumansMultivariate AnalysisPrincipal Component Analysis

Identifiers

PMID21265010
PMCPMC3072288

What OpenQuestion holds

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Registered trials

None linked

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.