Evidence map›Paper›PMID 30359297›Full record

ArticleGenome biology2018

Clust: automatic extraction of optimal co-expressed gene clusters from gene expression data.

Basel Abu-Jamous, Steven Kelly

Abstract read
In one paragraph

Article in Genome biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 114 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
114citing papers in PubMed, 1 pooled it
–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

114 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Environmentally relevant lead exposure impacts gene expression in SH-SY5Y cells throughout neuronal differentiation.Toxicological sciences : an official journal of the Society of Toxicology · 2025
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

54 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.

Basel Abu-JamousDepartment of Plant Sciences, University of Oxford, South Parks Road, Oxford, OX1 3RB, UK.
Steven KellyDepartment of Plant Sciences, University of Oxford, South Parks Road, Oxford, OX1 3RB, UK. steven.kelly@plants.ox.ac.uk.ORCID 0000-0001-8583-5362

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Identifying co-expressed gene clusters can provide evidence for genetic or physical interactions. Thus, co-expression clustering is a routine step in large-scale analyses of gene expression data. We show that commonly used clustering methods produce results that substantially disagree and that do not match the biological expectations of co-expressed gene clusters. We present clust, a method that solves these problems by extracting clusters matching the biological expectations of co-expressed genes and outperforms widely used methods. Additionally, clust can simultaneously cluster multiple datasets, enabling users to leverage the large quantity of public expression data for novel comparative analysis. Clust is available at https://github.com/BaselAbujamous/clust .

Indexed as

AlgorithmsGene Expression RegulationMultigene FamilyAnimalsAutomationCluster AnalysisDatabases, GeneticGene Expression ProfilingGene OntologyHumansReproducibility of ResultsClickClustClusteringCross-clusteringGene expression dataHierarchical clusteringK-meansMarkov clusteringSelf-organizing mapsWGCNA

Identifiers

PMID30359297
PMCPMC6203272

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.