AOP-helpFinder 3.0: from text mining to network visualization of key event relationships, and knowledge integration from multiple sources

Authors

Florence Jornod (ORCID: https://orcid.org/0000-0001-7586-6819)
Olivier Armant (ORCID: https://orcid.org/0000-0001-7101-9209)
Thomas Jaylet (ORCID: https://orcid.org/0000-0002-4990-6634)
Karine Audouze (ORCID: https://orcid.org/0000-0001-7525-4089)
Quentin Capdet

Institutions

Institut de Radioprotection et de Sûreté Nucléaire (FR)
Inserm (FR)
Université Paris Cité (FR)
Sorbonne Paris Cité (FR)

Publication Details

Journal: Bioinformatics
Published: 2025-06-28
DOI: https://doi.org/10.1093/bioinformatics/btaf381
Citations: 9
Primary Topic: Biomedical Text Mining and Ontologies
Type: article
Field-Weighted Citation Impact: 7.25

Funders

European Commission
Institut National de la Santé et de la Recherche Médicale

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article

AOP-helpFinder 3.0: from text mining to network visualization of key event relationships, and knowledge integration from multiple sources

Florence Jornod, Olivier Armant, Thomas Jaylet, Karine Audouze et al.

Jun 28, 2025

9 citations

Bioinformatics

Biomedical Text Mining and Ontologies

7.25

article

AOP-helpFinder 3.0: from text mining to network visualization of key event relationships, and knowledge integration from multiple sources

Florence Jornod, Olivier Armant, Thomas Jaylet, Karine Audouze, Quentin Capdet

June 28, 2025article en

9 citations

Abstract

No abstract available for this paper.

BioinformaticsVol. 41(7)

Institut de Radioprotection et de Sûreté Nucléaire (FR), Inserm (FR), Université Paris Cité (FR), Sorbonne Paris Cité (FR)

European Commission, Institut National de la Santé et de la Recherche Médicale

Quality Education

Openalex Percentile: Top 3%

Biomedical Text Mining and Ontologies

7.25

DOI Open Access PDF OpenAlex

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