Evidence map›Paper›PMID 33618746›Full record

ArticleGenome biology2021

scSorter: assigning cells to known cell types according to marker genes.

Hongyu Guo, Jun Li

Abstract read
In one paragraph

Article in Genome biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 82 papers.

0numbers the graph read from it
0cells of the map it votes in
82citing 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

82 citing papers in PubMed.

  1. Phosphoproteomic dysregulation promotes tumor proliferation in Cushing's disease.Proceedings of the National Academy of Sciences of the United States of America · 2026
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  9. From bats to humans: uncoveringbioRxiv : the preprint server for biology · 2026
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22 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

2 authors.

Hongyu GuoDepartment of Applied and Computational Mathematics and Statistics, University of Notre Dame, 102 Crowley Hall, Notre Dame, USA.
Jun LiDepartment of Applied and Computational Mathematics and Statistics, University of Notre Dame, 102 Crowley Hall, Notre Dame, USA. jun.li@nd.edu.ORCID 0000-0003-4353-5761

Funding

Integrative computational framework for pattern mining in big -omics data: linking synonymous codon usage to protein biogenesisR01GM120733 · NIGMS · UNIVERSITY OF NOTRE DAME · PI CLARK, PATRICIA LOUISE, EMRICH, SCOTT · 2016 to 2019
$1.1M
NIGMS NIH HHS R01 GM120733
6 · The paper itself

Abstract

On single-cell RNA-sequencing data, we consider the problem of assigning cells to known cell types, assuming that the identities of cell-type-specific marker genes are given but their exact expression levels are unavailable, that is, without using a reference dataset. Based on an observation that the expected over-expression of marker genes is often absent in a nonnegligible proportion of cells, we develop a method called scSorter. scSorter allows marker genes to express at a low level and borrows information from the expression of non-marker genes. On both simulated and real data, scSorter shows much higher power compared to existing methods.

Indexed as

Genetic MarkersRNA-SeqSingle-Cell AnalysisSoftwareAlgorithmsComputational BiologyOrgan SpecificityReproducibility of ResultsGenetic MarkersCell type assignmentClusteringMarker genesSingle-cell RNA-seq

Identifiers

PMID33618746
PMCPMC7898451

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Registered trials

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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.