Evidence map›Paper›PMID 42905494›Full record

ArticleCurrent protocols2026

Enhancing Interpretation of Functional Enrichment Analysis Results with Advanced Network Visualizations.

Aishwarya Iyer, Friederike Ehrhart, Martina Kutmon

Abstract read
In one paragraph

Article in Current protocols, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Aishwarya IyerDepartment for Translational Genomics, NUTRIM/MHeNs, Maastricht University, The Netherlands.ORCID https://orcid.org/0000-0003-2878-4049
Friederike EhrhartDepartment for Translational Genomics, NUTRIM/MHeNs, Maastricht University, The Netherlands.ORCID https://orcid.org/0000-0002-7770-620X
Martina KutmonMaastricht Centre for Systems Biology and Bioinformatics (MaCSBio), Maastricht University, The Netherlands.ORCID https://orcid.org/0000-0002-7699-8191

Funding

European Union's Horizon 101156595European Union's Horizon 825575
6 · The paper itself

Abstract

Functional enrichment analysis is a cornerstone of bioinformatics data analysis, enabling researchers to put high-throughput transcriptomics or proteomics data into biological context by identifying relevant pathways, processes, and mechanisms. The clusterProfiler R package is widely used for its robust statistical methods and versatile visualization options, including bar plots, dot plots, and enrichment maps. Whereas enrichment maps reveal relationships between terms through shared gene content, their static R implementations provide limited interactive exploration and customization for complex networks with hundreds of enriched terms and also provide limited built-in support for displaying node-level properties such as pathway coverage or expression directionality. We present a complete workflow for enrichment analysis and network visualization. The protocols cover performing over-representation analysis and gene set enrichment analysis using clusterProfiler, calculating term similarity between enriched terms, and exporting networks to Cytoscape using our cyemapplot function. The approach demonstrates three complementary visualization styles: basic networks reveal functional modules and term relationships, pie chart networks quantify pathway coverage to prioritize complete versus partial perturbations, and differentially expressed gene networks integrate expression directionality and regulatory heterogeneity within biological processes. By revealing shared gene content, expression patterns, and network topology, this approach helps researchers move beyond independent term lists to extract richer mechanistic insights from high-throughput datasets. The support protocols cover established clusterProfiler and enrichplot functionality required to generate enrichment results, whereas the Basic Protocol describes the main methodological contribution of this work, the cyemapplot function and its three visualization styles. © 2026 The Author(s). Current Protocols published by Wiley Periodicals LLC. Basic Protocol: Advanced network visualization using Cytoscape Support Protocol 1: Installing required software and packages Support Protocol 2: Preparing gene expression data Support Protocol 3: Performing enrichment analysis and calculating term similarity.

Indexed as

Computational BiologyGene Regulatory NetworksSoftwareGene Expression ProfilingProteomicsCytoscapefunctional enrichment analysisgene set enrichmentnetwork visualizationpathway analysis

Identifiers

PMID42905494
PMCPMC13686250

What OpenQuestion holds

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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.