Evidence map›Paper›PMID 36762203›Full record

ArticleF1000Research2021

Jeroen Gilis, Kristoffer Vitting-Seerup, Koen Van den Berge, Lieven Clement

Open access · goldAbstract read
In one paragraph

Article in F1000Research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
3.7field-weighted citation impact, top 5% of its field
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

29 citing papers in PubMed, 31 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. ELLIPSIS: robust quantification of splicing in scRNA-seq.Bioinformatics (Oxford, England) · 2025
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
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  17. Article
  18. Quantifying transcriptome diversity: a review.Briefings in functional genomics · 2024
    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

4 authors at 3 institutions in 3 countries.

Jeroen GilisApplied Mathematics, Computer science and Statistics, Ghent University, Ghent, 9000, Belgium.ORCID https://orcid.org/0000-0001-8415-0943
Kristoffer Vitting-SeerupDepartment of Biology, Kobenhavns Universitet, Copenhagen, 2200, Denmark.
Koen Van den BergeApplied Mathematics, Computer science and Statistics, Ghent University, Ghent, 9000, Belgium.
Lieven ClementApplied Mathematics, Computer science and Statistics, Ghent University, Ghent, 9000, Belgium.
Ghent University · BEUniversity of Copenhagen · DKVlaams Instituut voor Biotechnologie · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Alternative splicing produces multiple functional transcripts from a single gene. Dysregulation of splicing is known to be associated with disease and as a hallmark of cancer. Existing tools for differential transcript usage (DTU) analysis either lack in performance, cannot account for complex experimental designs or do not scale to massive single-cell transcriptome sequencing (scRNA-seq) datasets. We introduce

Indexed as

differential transcript usageRNA-seqsatuRnsingle-cell transcriptomicssplicingstatistical framework

Identifiers

PMID36762203
PMCPMC9892655.2
OpenAlexW3162073839

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.