ArticleBioinformatics (Oxford, England)2020
GSOAP: a tool for visualization of gene set over-representation analysis.
Article in Bioinformatics (Oxford, England), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.
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Who cites it
9 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Transcriptomics Meta-Analysis Reveals Phagosome and Innate Immune System Dysfunction as Potential Mechanisms in the Cortex of Alzheimer's Disease Mouse Strains.Journal of molecular neuroscience : MN · 2023Pooled it
- Exercise Training Regulates Cortical GPCR-Mediated Signaling Networks Through cAMP, Calcium, and Neuroactive Ligand-Receptor Interaction Pathways in Diabetic-Obese Rats: An In Silico Study.International journal of molecular sciences · 2026Article
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- Using bioinformatics approaches to identify survival-related oncomiRs as potential targets of miRNA-based treatments for lung adenocarcinoma.Computational and structural biotechnology journal · 2022Article
- Pathway Enrichment Analysis of Microarray Data.Methods in molecular biology (Clifton, N.J.) · 2022Article
- GeneTonic: an R/Bioconductor package for streamlining the interpretation of RNA-seq data.BMC bioinformatics · 2021Article
- Systematic identification of clinically relevant miRNAs for potential miRNA-based therapy in lung adenocarcinoma.Molecular therapy. Nucleic acids · 2021Article
- Identification and validation of a miRNA-based prognostic signature for cervical cancer through an integrated bioinformatics approach.Scientific reports · 2020Article
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Authors and funding
3 authors.
Funding
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Abstract
motivationGene sets over-representation analysis (GSOA) is a common technique of enrichment analysis that measures the overlap between a gene set and selected instances (e.g. pathways). Despite its popularity, there is currently no established standard for visualization of GSOA results.
resultsHere, we propose a visual exploration of the GSOA results by showing the relationships among the enriched instances, while highlighting important instance attributes, such as significance, closeness (centrality) and clustering. AVAILABILITY AND IMPLEMENTATION: GSOAP is implemented as an R package and is available at https://github.com/tomastokar/gsoap.
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