Evidence map›Paper›PMID 35228707›Full record

ArticleNature biotechnology2022

Multiscale PHATE identifies multimodal signatures of COVID-19.

Manik Kuchroo, Jessie Huang, Patrick Wong, Jean-Christophe Grenier, Dennis Shung, Alexander Tong, Carolina Lucas, Jon Klein, Daniel B Burkhardt, Scott Gigante and 21 more

Abstract read
In one paragraph

Article in Nature biotechnology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing 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

38 citing papers in PubMed.

  1. Article
  2. Review
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  5. Article
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  7. Article
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  9. Article
  10. Diffusive topology preserving manifold distances for single-cell data analysis.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Review
  17. Geometric Scattering on Measure Spaces.Applied and computational harmonic analysis · 2024
    Article
  18. Article
  19. Utilizing multimodal AI to improve genetic analyses of cardiovascular traits.medRxiv : the preprint server for health sciences · 2024
    Article
  20. Review
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

31 authors.

Manik Kuchroo *Department of Neuroscience, Yale University, New Haven, CT, USA.
Jessie Huang *Department of Computer Science, Yale University, New Haven, CT, USA.
Patrick Wong *Department of Immunobiology, Yale University, New Haven, CT, USA.
Jean-Christophe GrenierMontreal Heart Institute, Montreal, Quebec, Canada.
Dennis ShungDepartment of Medicine, Yale University, New Haven, CT, USA.
Alexander TongDepartment of Computer Science, Yale University, New Haven, CT, USA.ORCID http://orcid.org/0000-0002-2031-4096
Carolina LucasDepartment of Immunobiology, Yale University, New Haven, CT, USA.ORCID http://orcid.org/0000-0003-4590-2756
Jon KleinDepartment of Immunobiology, Yale University, New Haven, CT, USA.ORCID http://orcid.org/0000-0002-3552-7684
Daniel B BurkhardtDepartment of Genetics, Yale University, New Haven, CT, USA.ORCID http://orcid.org/0000-0001-7744-1363
Scott GiganteComputational Biology, Bioinformatics Program, Yale University, New Haven, CT, USA.ORCID http://orcid.org/0000-0002-4544-2764
Abhinav GodavarthiDepartment of Applied Mathematics, Yale University, New Haven, CT, USA.
Bastian RieckDepartment of Biosystems Science and Engineering, ETH Zurich, Zurich, Switzerland.ORCID http://orcid.org/0000-0003-4335-0302
Benjamin IsraelowDepartment of Immunobiology, Yale University, New Haven, CT, USA.ORCID http://orcid.org/0000-0002-1308-8246
Michael SimonovDepartment of Medicine, Yale University, New Haven, CT, USA.
Tianyang MaoDepartment of Immunobiology, Yale University, New Haven, CT, USA.ORCID http://orcid.org/0000-0001-9251-8592
Ji Eun OhDepartment of Immunobiology, Yale University, New Haven, CT, USA.
Julio SilvaDepartment of Immunobiology, Yale University, New Haven, CT, USA.
Takehiro TakahashiDepartment of Immunobiology, Yale University, New Haven, CT, USA.ORCID http://orcid.org/0000-0002-1061-356X
Camila D OdioDepartment of Medicine, Yale University, New Haven, CT, USA.
Arnau Casanovas-MassanaDepartment of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA.
John FournierSection of Infectious Diseases, Department of Medicine, Yale University School of Medicine, New Haven, CT, USA.
Yale IMPACT Team
Shelli FarhadianSection of Infectious Diseases, Department of Medicine, Yale University School of Medicine, New Haven, CT, USA.ORCID http://orcid.org/0000-0001-7230-1409
Charles S Dela CruzSection of Pulmonary and Critical Care Medicine, Department of Medicine, Yale University School of Medicine, New Haven, CT, USA.
Albert I KoSection of Infectious Diseases, Department of Medicine, Yale University School of Medicine, New Haven, CT, USA.ORCID http://orcid.org/0000-0001-9023-2339
Matthew J HirnDepartment of Mathematics, Michigan State University, East Lansing, MI, USA.ORCID http://orcid.org/0000-0003-0290-4292
F Perry WilsonClinical and Translational Research Accelerator, Department of Medicine, Yale University, New Haven, CT, USA.
Julie G HussinMontreal Heart Institute, Montreal, Quebec, Canada.ORCID http://orcid.org/0000-0003-4295-3339
Guy WolfMila - Quebec AI institute, Montreal, Quebec, Canada.ORCID http://orcid.org/0000-0002-6740-059X
Akiko IwasakiDepartment of Immunobiology, Yale University, New Haven, CT, USA.ORCID http://orcid.org/0000-0002-7824-9856
Smita KrishnaswamyDepartment of Computer Science, Yale University, New Haven, CT, USA. smita.krishnaswamy@yale.edu.ORCID http://orcid.org/0000-0001-5823-1985

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Systems investigation of vaccine responses in B cell depleted autoimmune patientsU19AI089992 · NIAID · YALE UNIVERSITY · PI Steven H. Kleinstein · 2010 to 2026
$50.4M
Renal Physiology and Phenotyping CoreP30DK079310 · NIDDK · YALE UNIVERSITY · PI ARONSON, PETER S. · 2008 to 2022
$16.8M
TRAINING IN THE PATHOGENESIS OF INFECTIOUS DISEASEST32AI007517 · NIAID · YALE UNIVERSITY · PI Jaimie Meyer, Albert C Shaw · 1997 to 2026
$6.1M
Viral and immune-mediated CNS pathology during SARS-CoV-2 infectionR01AI157488 · NIAID · YALE UNIVERSITY · PI FARHADIAN, SHELLI, IWASAKI, AKIKO · 2020 to 2024
$4.7M
Optimizing Electronic Alerts for Acute Kidney InjuryR01DK113191 · NIDDK · YALE UNIVERSITY · PI WILSON, FRANCIS PERRY · 2018 to 2022
$3.1M
Deciphering the regulatory code that specifies different cell fates in development using single cell genomicsR01HD100035 · NICHD · YALE UNIVERSITY · PI GIRALDEZ, ANTONIO J, KRISHNASWAMY, SMITA · 2020 to 2024
$2.8M
Deciphering Genetic and Epigenetic Regulatory Logic of Germ Layer Differentiation with Manifold LearningR01GM130847 · NIGMS · YALE UNIVERSITY · PI KRISHNASWAMY, SMITA · 2019 to 2023
$2.0M
Personalized Recommendations for Acute Kidney Injury (AKI) Care Using a Kidney Action Team: A Randomized TrialR01HS027626 · AHRQ · YALE UNIVERSITY · PI WILSON, FRANCIS PERRY · 2021 to 2025
$1.9M
Finding emergent structure in multi-sample biological data with the dual geometry of cells and features R01GM135929 · NIGMS · MICHIGAN STATE UNIVERSITY · PI BROWN, EDWARD · 2019 to 2022
$1.4M
Deep Learning Approaches to Risk Stratification in Acute Gastrointestinal BleedingK23DK125718 · NIDDK · YALE UNIVERSITY · PI SHUNG, DENNIS · 2021 to 2025
$969k
Understanding the cellular basis for persistent immune activation in the central nervous system during virologically suppressed HIVK23MH118999 · NIMH · YALE UNIVERSITY · PI FARHADIAN, SHELLI · 2018 to 2021
$770k
AHRQ HHS R01 HS027626Howard Hughes Medical InstituteNCATS NIH HHS UL1 TR001863NIAID NIH HHS F30 AI157270NIAID NIH HHS R01 AI157488NIAID NIH HHS T32 AI007517NIAID NIH HHS U19 AI089992NICHD NIH HHS R01 HD100035NIDDK NIH HHS K23 DK125718NIDDK NIH HHS P30 DK079310NIDDK NIH HHS R01 DK113191NIGMS NIH HHS R01 GM130847NIGMS NIH HHS R01 GM135929NIMH NIH HHS K23 MH118999
6 · The paper itself

Abstract

As the biomedical community produces datasets that are increasingly complex and high dimensional, there is a need for more sophisticated computational tools to extract biological insights. We present Multiscale PHATE, a method that sweeps through all levels of data granularity to learn abstracted biological features directly predictive of disease outcome. Built on a coarse-graining process called diffusion condensation, Multiscale PHATE learns a data topology that can be analyzed at coarse resolutions for high-level summarizations of data and at fine resolutions for detailed representations of subsets. We apply Multiscale PHATE to a coronavirus disease 2019 (COVID-19) dataset with 54 million cells from 168 hospitalized patients and find that patients who die show CD16

Indexed as

COVID-19Single-Cell AnalysisChromatinExome SequencingHumansTransposasesChromatinTransposases

Identifiers

PMID35228707
PMCPMC10015653

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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.