Evidence map›Paper›PMID 32765839›Full record

ArticleF1000Research2020

clustifyr: an R package for automated single-cell RNA sequencing cluster classification.

Rui Fu, Austin E Gillen, Ryan M Sheridan, Chengzhe Tian, Michelle Daya, Yue Hao, Jay R Hesselberth, Kent A Riemondy

Abstract read
In one paragraph

Article in F1000Research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 89 papers.

0numbers the graph read from it
0cells of the map it votes in
89citing 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

89 citing papers in PubMed.

  1. Article
  2. Cytotoxic CD4Nature aging · 2026
    Article
  3. Article
  4. celltypeEnrich: a consensus-based scRNA-seq cluster annotation tool.bioRxiv : the preprint server for biology · 2026
    Article
  5. Article
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  9. Review
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  19. Article
  20. IL7RBrain and behavior · 2025
    Article

29 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

8 authors.

Rui FuRNA Bioscience Initiative, University of Colorado School of Medicine, Aurora,, CO, 80045, USA.
Austin E GillenRNA Bioscience Initiative, University of Colorado School of Medicine, Aurora,, CO, 80045, USA.
Ryan M SheridanRNA Bioscience Initiative, University of Colorado School of Medicine, Aurora,, CO, 80045, USA.
Chengzhe TianDepartment of Biochemistry, University of Colorado Boulder, Boulder, CO, 80303, USA.
Michelle DayaBiomedical Informatics & Personalized Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, 80045, USA.ORCID 0000-0002-9057-6593
Yue HaoBioinformatics Research Center, North Carolina State University, Raleigh, NC, 27695, USA.
Jay R HesselberthRNA Bioscience Initiative, University of Colorado School of Medicine, Aurora,, CO, 80045, USA.
Kent A RiemondyRNA Bioscience Initiative, University of Colorado School of Medicine, Aurora,, CO, 80045, USA.ORCID 0000-0003-0750-1273

Funding

Nanopore analysis of transfer RNA forms and functionsR35GM119550 · NIGMS · UNIVERSITY OF COLORADO DENVER · PI Jay R Hesselberth · 2016 to 2026
$4.5M
NIGMS NIH HHS R35 GM119550
6 · The paper itself

Abstract

Assignment of cell types from single-cell RNA sequencing (scRNA-seq) data remains a time-consuming and error-prone process. Current packages for identity assignment use limited types of reference data and often have rigid data structure requirements. We developed the clustifyr R package to leverage several external data types, including gene expression profiles to assign likely cell types using data from scRNA-seq, bulk RNA-seq, microarray expression data, or signature gene lists. We benchmark various parameters of a correlation-based approach and implement gene list enrichment methods. clustifyr is a lightweight and effective cell-type assignment tool developed for compatibility with various scRNA-seq analysis workflows. clustifyr is publicly available at https://github.com/rnabioco/clustifyr.

Indexed as

RNA, Small CytoplasmicSingle-Cell AnalysisSoftwareGene Expression ProfilingHumansSequence Analysis, RNARNA, Small Cytoplasmiccell type classificationgene expression profileR packageSingle-cell RNA sequencing

Identifiers

PMID32765839
PMCPMC7383722

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.