Gene behaviors-based network enrichment analysis and its application to reveal immune disease pathways enriched with COVID-19 severity-specific gene networks

Authors

Heewon Park (ORCID: https://orcid.org/0000-0002-2773-8596)
Satoru Miyano (ORCID: https://orcid.org/0000-0002-1753-6616)
Seiya Imoto (ORCID: https://orcid.org/0000-0002-2989-308X)

Institutions

Tokyo Medical University (JP)
Sungshin Women's University (KR)
Tokyo Metropolitan Institute of Medical Science (JP)
The University of Tokyo (JP)

Publication Details

Journal: Bioinformatics
Published: 2025-06-28
DOI: https://doi.org/10.1093/bioinformatics/btaf378
Citations: 2
Primary Topic: Bioinformatics and Genomic Networks
Type: article
Field-Weighted Citation Impact: 1.61

Funders

Japan Agency for Medical Research and Development
University of Tokyo
Japan Society for the Promotion of Science

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article

Gene behaviors-based network enrichment analysis and its application to reveal immune disease pathways enriched with COVID-19 severity-specific gene networks

Heewon Park, Satoru Miyano, Seiya Imoto

Jun 28, 2025

2 citations

Bioinformatics

Bioinformatics and Genomic Networks

1.61

article

Gene behaviors-based network enrichment analysis and its application to reveal immune disease pathways enriched with COVID-19 severity-specific gene networks

Heewon Park, Satoru Miyano, Seiya Imoto

June 28, 2025article en

2 citations

Abstract

No abstract available for this paper.

BioinformaticsVol. 41(7)

Tokyo Medical University (JP), Sungshin Women's University (KR), Tokyo Metropolitan Institute of Medical Science (JP), The University of Tokyo (JP)

Japan Agency for Medical Research and Development, University of Tokyo, Japan Society for the Promotion of Science

Openalex Percentile: Top 16%

Bioinformatics and Genomic Networks

1.61

DOI Open Access PDF OpenAlex

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