Evidence map›Paper›PMID 27008164›Full record

ArticlePloS one2016

Earth Mover's Distance (EMD): A True Metric for Comparing Biomarker Expression Levels in Cell Populations.

Darya Y Orlova, Noah Zimmerman, Stephen Meehan, Connor Meehan, Jeffrey Waters, Eliver E B Ghosn, Alexander Filatenkov, Gleb A Kolyagin, Yael Gernez, Shanel Tsuda and 4 more

Abstract readComparative Study
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers.

0numbers the graph read from it
0cells of the map it votes in
58citing 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

58 citing papers in PubMed.

  1. Article
  2. Article
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  4. Single-cell hit calling in high-content imaging screens with Buscar.bioRxiv : the preprint server for biology · 2026
    Article
  5. 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 · 2026
    Article
  6. Article
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  8. Article
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  11. Article
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  13. Visualizing scRNA-Seq Data at Population Scale with GloScope.bioRxiv : the preprint server for biology · 2024
    Article
  14. Article
  15. Evolutionary and developmental specialization of foveal cell types in the marmoset.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  16. Article
  17. Speech Reception in Young Children with Autism Is Selectively Indexed by a Neural Oscillation Coupling Anomaly.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2023
    Article
  18. Computational Methods for Single-Cell Proteomics.Annual review of biomedical data science · 2023
    Review
  19. Article
  20. Article
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

14 authors.

Darya Y OrlovaDepartment of Genetics, Stanford University School of Medicine, Stanford, California, United States of America.
Noah ZimmermanDepartment of Statistics, Stanford University, Stanford, California, United States of America.
Stephen MeehanDepartment of Statistics, Stanford University, Stanford, California, United States of America.
Connor MeehanDepartment of Mathematics, California Institute of Technology, Pasadena, California, United States of America.
Jeffrey WatersDepartment of Genetics, Stanford University School of Medicine, Stanford, California, United States of America.
Eliver E B GhosnDepartment of Genetics, Stanford University School of Medicine, Stanford, California, United States of America.
Alexander FilatenkovDivision of Immunology and Rheumatology, Stanford University School of Medicine, Stanford, California, United States of America.
Gleb A KolyaginIndependent Researcher, Menlo Park, California, United States of America.
Yael GernezDepartment of Genetics, Stanford University School of Medicine, Stanford, California, United States of America.
Shanel TsudaDepartment of Genetics, Stanford University School of Medicine, Stanford, California, United States of America.
Wayne MooreDepartment of Genetics, Stanford University School of Medicine, Stanford, California, United States of America.
Richard B MossCenter for Excellence in Pulmonary Biology, Stanford University School of Medicine, Stanford, California, United States of America.
Leonore A HerzenbergDepartment of Genetics, Stanford University School of Medicine, Stanford, California, United States of America.
Guenther WaltherDepartment of Statistics, Stanford University, Stanford, California, United States of America.

Funding

MOLECULAR &CELLULAR IMMUNOBIOLOGYT32AI007290 · NIAID · STANFORD UNIVERSITY · PI Sean Curtis Bendall, Olivia M Martinez · 1985 to 2026
$27.0M
Automated comparison of flow data from HIV and vaccine infected subjects.R01AI098519 · NIAID · STANFORD UNIVERSITY · PI HERZENBERG, LEONORE A. · 2012 to 2017
$1.2M
NIAID NIH HHS 5 T32 AI07290NIAID NIH HHS R01 AI098519NIAID NIH HHS T32 AI007290PHS HHS NIAID 098519
6 · The paper itself

Abstract

Changes in the frequencies of cell subsets that (co)express characteristic biomarkers, or levels of the biomarkers on the subsets, are widely used as indices of drug response, disease prognosis, stem cell reconstitution, etc. However, although the currently available computational "gating" tools accurately reveal subset frequencies and marker expression levels, they fail to enable statistically reliable judgements as to whether these frequencies and expression levels differ significantly between/among subject groups. Here we introduce flow cytometry data analysis pipeline which includes the Earth Mover's Distance (EMD) metric as solution to this problem. Well known as an informative quantitative measure of differences between distributions, we present three exemplary studies showing that EMD 1) reveals clinically-relevant shifts in two markers on blood basophils responding to an offending allergen; 2) shows that ablative tumor radiation induces significant changes in the murine colon cancer tumor microenvironment; and, 3) ranks immunological differences in mouse peritoneal cavity cells harvested from three genetically distinct mouse strains.

Indexed as

AlgorithmsBiomarkersFlow CytometryProbabilityBiomarkers

Identifiers

PMID27008164
PMCPMC4805242

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.