ArticleNature communications2020
VoPo leverages cellular heterogeneity for predictive modeling of single-cell data.
Abstract read
In one paragraph
Article in Nature communications, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
–field-weighted citation impact
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
24 citing papers in PubMed.
- Preferential inhibition of adaptive immune system dynamics by glucocorticoids in patients after acute surgical trauma.Nature communications · 2020Trial
- MICRON learns outcome-associated representations of spatial immune microenvironments.bioRxiv : the preprint server for biology · 2026Article
- Application and characterization of the multiple instance learning framework in flow cytometry.Scientific reports · 2026Article
- Microglia Single-Cell RNA-Seq Enables Robust and Applicable Markers of Biological Aging.Aging cell · 2025Article
- T cell signatures associated with reduced Chlamydia trachomatis reinfection in a highly exposed cohort.JCI insight · 2025Article
- Conditional similarity triplets enable covariate-informed representations of single-cell data.BMC bioinformatics · 2025Article
- Leveraging Single-Cell RNA-Seq to Generate Robust Microglia Aging Clocks.bioRxiv : the preprint server for biology · 2024Article
- Conditional Similarity Triplets Enable Covariate-Informed Representations of Single-Cell Data.Research square · 2024Article
- Artificial Intelligence in Perioperative Care: Opportunities and Challenges.Anesthesiology · 2024Article
- Morphological Signal Processing for Phenotype Recognition of Human Pluripotent Stem Cells Using Machine Learning Methods.Biomedicines · 2023Article
- Cross-species comparative analysis of single presynapses.Scientific reports · 2023Article
- Maternal Vaccination to Prevent Adverse Pregnancy Outcomes: An Underutilized Molecular Immunological Intervention?Journal of molecular biology · 2023Review
- In-silico generation of high-dimensional immune response data in patients using a deep neural network.Cytometry. Part A : the journal of the International Society for Analytical Cytology · 2023Article
- Multi-omic analysis of the tumor microenvironment shows clinical correlations in Ph1 study of atezolizumab +/- SoC in MM.Frontiers in immunology · 2023Article
- Comparative analysis between highFrontiers in oncology · 2023Article
- Signature for Pain Recovery IN Teens (SPRINT): protocol for a multisite prospective signature study in chronic musculoskeletal pain.BMJ open · 2022Article
- Single-synapse analyses of Alzheimer's disease implicate pathologic tau, DJ1, CD47, and ApoE.Science advances · 2021Article
- Human influenza virus challenge identifies cellular correlates of protection for oral vaccination.Cell host & microbe · 2021Article
- Measuring the human immune response to surgery: multiomics for the prediction of postoperative outcomes.Current opinion in critical care · 2021Review
- Analyzing high-dimensional cytometry data using FlowSOM.Nature protocols · 2021Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
30 authors.
Natalie Stanley *Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University, Stanford, USA.
Ina A Stelzer *Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University, Stanford, USA.ORCID http://orcid.org/0000-0002-9974-4661
Amy S TsaiDepartment of Anesthesiology, Perioperative and Pain Medicine, Stanford University, Stanford, USA.ORCID http://orcid.org/0000-0002-2380-6424
Ramin FallahzadehDepartment of Anesthesiology, Perioperative and Pain Medicine, Stanford University, Stanford, USA.
Edward GanioDepartment of Anesthesiology, Perioperative and Pain Medicine, Stanford University, Stanford, USA.
Martin BeckerDepartment of Anesthesiology, Perioperative and Pain Medicine, Stanford University, Stanford, USA.ORCID http://orcid.org/0000-0003-4296-3481
Thanaphong PhongpreechaDepartment of Anesthesiology, Perioperative and Pain Medicine, Stanford University, Stanford, USA.ORCID http://orcid.org/0000-0001-9245-6686
Huda NassarDepartment of Anesthesiology, Perioperative and Pain Medicine, Stanford University, Stanford, USA.
Sajjad GhaemiDepartment of Anesthesiology, Perioperative and Pain Medicine, Stanford University, Stanford, USA.
Ivana MaricDepartment of Pediatrics, Stanford University, Stanford, USA.
Anthony CulosDepartment of Anesthesiology, Perioperative and Pain Medicine, Stanford University, Stanford, USA.ORCID http://orcid.org/0000-0003-0083-6994
Alan L ChangDepartment of Anesthesiology, Perioperative and Pain Medicine, Stanford University, Stanford, USA.
Maria XenochristouDepartment of Anesthesiology, Perioperative and Pain Medicine, Stanford University, Stanford, USA.
Xiaoyuan HanDepartment of Anesthesiology, Perioperative and Pain Medicine, Stanford University, Stanford, USA.ORCID http://orcid.org/0000-0001-6394-3055
Camilo EspinosaDepartment of Anesthesiology, Perioperative and Pain Medicine, Stanford University, Stanford, USA.
Kristen RumerDepartment of Anesthesiology, Perioperative and Pain Medicine, Stanford University, Stanford, USA.
Laura PetersonDepartment of Anesthesiology, Perioperative and Pain Medicine, Stanford University, Stanford, USA.
Franck VerdonkDepartment of Anesthesiology, Perioperative and Pain Medicine, Stanford University, Stanford, USA.ORCID http://orcid.org/0000-0001-7061-5594
Dyani GaudilliereDepartment of Anesthesiology, Perioperative and Pain Medicine, Stanford University, Stanford, USA.
Eileen TsaiDepartment of Anesthesiology, Perioperative and Pain Medicine, Stanford University, Stanford, USA.
Dorien FeyaertsDepartment of Anesthesiology, Perioperative and Pain Medicine, Stanford University, Stanford, USA.
Jakob EinhausDepartment of Anesthesiology, Perioperative and Pain Medicine, Stanford University, Stanford, USA.ORCID http://orcid.org/0000-0002-3450-4325
Kazuo AndoDepartment of Anesthesiology, Perioperative and Pain Medicine, Stanford University, Stanford, USA.
Ronald J WongDepartment of Pediatrics, Stanford University, Stanford, USA.ORCID http://orcid.org/0000-0003-1205-6936
Gerlinde ObermoserCenter for Human Systems Immunology, Stanford University, Stanford, USA.
Gary M ShawDepartment of Pediatrics, Stanford University, Stanford, USA.
David K StevensonDepartment of Pediatrics, Stanford University, Stanford, USA.
Martin S AngstDepartment of Anesthesiology, Perioperative and Pain Medicine, Stanford University, Stanford, USA.ORCID http://orcid.org/0000-0002-1550-8136
Brice GaudilliereDepartment of Anesthesiology, Perioperative and Pain Medicine, Stanford University, Stanford, USA.ORCID http://orcid.org/0000-0002-3475-5706
Nima AghaeepourDepartment of Anesthesiology, Perioperative and Pain Medicine, Stanford University, Stanford, USA. naghaeep@stanford.edu.ORCID http://orcid.org/0000-0002-6117-8764
Funding
MOLECULAR &CELLULAR IMMUNOBIOLOGYT32AI007290 · NIAID · STANFORD UNIVERSITY · PI Sean Curtis Bendall, Olivia M Martinez · 1985 to 2026
$27.0MInstitutional Career Development Core (KL2)KL2TR003143 · NCATS · STANFORD UNIVERSITY · PI ASCH, STEVEN M. · 2019 to 2023
$8.7MSPRINT: Signature for Pain Recovery IN TeensR61NS114926 · NINDS · STANFORD UNIVERSITY · PI SIMONS, LAURA E · 2019 to 2019
$5.4MResearch in Anesthesia Training Program (ReAP)T32GM089626 · NIGMS · STANFORD UNIVERSITY · PI Vivianne L Tawfik · 2010 to 2026
$5.2MDietary Modulation of Neuroinflammation in Age-Related Memory DisordersR01AG058417 · NIA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI SLOAN, RICHARD P, SMALL, SCOTT A · 2018 to 2022
$4.2MMachine Learning for Integrative Modeling of the Immune System in Clinical SettingsR35GM138353 · NIGMS · STANFORD UNIVERSITY · PI AGHAEEPOUR, NIMA · 2020 to 2024
$2.2MHarnessing the human monocyte system to improve surgical recoveryR35GM137936 · NIGMS · STANFORD UNIVERSITY · PI GAUDILLIERE, BRICE · 2020 to 2024
$2.0MRole of Myeloid Derived Suppressor Cells in the Immune Response to SurgeryK23GM111657 · NIGMS · STANFORD UNIVERSITY · PI GAUDILLIERE, BRICE · 2014 to 2017
$524kIdentifying a Systemic Immune Signature of Periodontal Disease with Mass CytometryR21DE027728 · NIDCR · STANFORD UNIVERSITY · PI GAUDILLIERE, BRICE, GAUDILLIERE, DYANI · 2018 to 2019
$432kNCATS NIH HHS KL2 TR003143NIAID NIH HHS T32 AI007290NIA NIH HHS R01 AG058417NIDCR NIH HHS R21 DE027728NIGMS NIH HHS K23 GM111657NIGMS NIH HHS R35 GM137936NIGMS NIH HHS R35 GM138353NIGMS NIH HHS T32 GM089626NINDS NIH HHS R61 NS114926
Abstract
High-throughput single-cell analysis technologies produce an abundance of data that is critical for profiling the heterogeneity of cellular systems. We introduce VoPo (https://github.com/stanleyn/VoPo), a machine learning algorithm for predictive modeling and comprehensive visualization of the heterogeneity captured in large single-cell datasets. In three mass cytometry datasets, with the largest measuring hundreds of millions of cells over hundreds of samples, VoPo defines phenotypically and functionally homogeneous cell populations. VoPo further outperforms state-of-the-art machine learning algorithms in classification tasks, and identified immune-correlates of clinically-relevant parameters.
Indexed as
AlgorithmsModels, BiologicalSingle-Cell AnalysisCluster AnalysisDatabases as TopicFlow CytometryHumans
Identifiers
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.