Evidence map›Paper›PMID 41569346›Full record

ArticleGenomics, proteomics & bioinformatics2026

ClusterGVis: An Advanced Visualization and Clustering Tool for Gene Expression Analysis.

Jun Zhang 张俊, Hongyuan Li 李弘远, Wenjun Tao 陶文君, Jun Zhou 周君

Abstract read
In one paragraph

Article in Genomics, proteomics & bioinformatics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

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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.

Jun Zhang 张俊State Key Laboratory of Natural Medicines, China Pharmaceutical University, Nanjing 211198, China.ORCID 0000-0001-7692-9105
Hongyuan Li 李弘远State Key Laboratory of Natural Medicines, China Pharmaceutical University, Nanjing 211198, China.ORCID 0009-0001-1512-0895
Wenjun Tao 陶文君State Key Laboratory of Natural Medicines, China Pharmaceutical University, Nanjing 211198, China.ORCID 0009-0009-6120-5900
Jun Zhou 周君State Key Laboratory of Natural Medicines, China Pharmaceutical University, Nanjing 211198, China.ORCID 0000-0001-7261-2207

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Both single-cell RNA sequencing and bulk RNA sequencing data provide valuable insights into physiological and pathological processes. The effective interpretation of such data relies on the availability of sophisticated analytical and visualization tools. Here, we introduce ClusterGVis, an advanced bioinformatics software specifically designed to simplify the analysis and visualization of gene expression data. ClusterGVis provides a user-friendly interface that allows researchers to perform fuzzy c-means and k-means clustering on transcriptomic data. It enables researchers to effectively uncover patterns and relationships within complex gene expression profiles. The integrated heatmap visualization features support intuitive exploration of co-expression networks and identification of differentially expressed genes across diverse experimental conditions. ClusterGVis serves a dual purpose: aiding in the identification of potential biomarkers and enriching the understanding of gene function and regulatory mechanisms. The tutorials, manual, source code, and demo data of ClusterGVis are publicly available at https://github.com/junjunlab/ClusterGVis and https://bioconductor.org/packages/ClusterGVis. The ClusterGVis Shiny app has been deployed on shinyapps.io and is accessible at https://laojunjun.shinyapps.io/clustergvis_app_v0/. The Shiny app source code is hosted on GitHub at https://github.com/junjunlab/ClusterGvis-app.

Indexed as

Computational BiologyGene Expression ProfilingSoftwareCluster AnalysisClustering AlgorithmsHumansSequence Analysis, RNASingle-Cell Gene Expression AnalysisBulk RNA sequencingFunctional annotationFuzzy c-means clusteringGene clustering visualizationSingle-cell RNA sequencing

Identifiers

PMID41569346
PMCPMC13525343

What OpenQuestion holds

Textmetadata
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.