Endometriosis - Persistent Organic Pollutants Knowledge Graph

Meije Mathé, Germán Cano-Sancho, Fabien Jourdan, Clément Frainay
2026 · doi:10.5281/zenodo.21244042 · W7169848678
Other OA: green CC0
🔓 Open OA copy Full text JSON View on OpenAlex View at publisher
⚙ AI-generated summary by qwen3.7-flash, 2026-10-11 ⓘ

This paper presents a labeled property graph linking endometriosis-related concepts and organochlorine compounds, extracted from the FORVM knowledge graph using the Kg4j library and reformatted via the Biolink model and KGX format.

One-sentence paraphrase of the abstract; not a substitute for reading it. No clinical advice. How this works

⚙ AI-generated deep summary by qwen3.7-flash, 2026-10-11 · read from full text ⓘ

This dataset presents a labeled property graph that links concepts related to endometriosis with organochlorine compounds. The knowledge graph was extracted from the FORVM knowledge graph using the Kg4j library and reformatted according to the Biolink model and KGX format. It serves as a structured resource for exploring associations between persistent organic pollutants and endometriosis-related biological entities. This paper is centrally about endometriosis — specifically, it provides a computational knowledge graph linking the disease to environmental pollutants.

Read from the paper's body, not the abstract. Not a substitute for reading the paper. No clinical advice. How this works

Abstract

Labeled Property Graph linking endometriosis related concepts and organochlorine compounds. This graph was extracted using the Kg4j library (v 1.0) from the FORVM knowledge graph and reformatted as a LPG using the Biolink model and the KGX format. See the FORVM article and the Kg4j library repository
Full text 982 characters · extracted from oa-doi-fallback · click to expand
Published July 21, 2026 | Version 1.0 Dataset Open Endometriosis - Persistent Organic Pollutants Knowledge Graph Authors/Creators Description Labeled Property Graph linking endometriosis related concepts and organochlorine compounds. This graph was extracted using the Kg4j library (v 1.0) from the FORVM knowledge graph and reformatted as a LPG using the Biolink model and the KGX format. See the FORVM article and the Kg4j library repository Files import_data.md Additional details Related works - Is described by - Preprint: 10.64898/2026.03.02.709027 (DOI) Funding - Agence Nationale de la Recherche - MetaboHUB ANR-11-INBS-0010 - Agence Nationale de la Recherche - MetEx+ ANR-21-ESRE0035 - Agence Nationale de la Recherche - MetaboHUB ANR-24-INBS-0012 - Fondation pour la Recherche Médicale - Endoxomics ENV202109013779 Dates - Submitted - 2026-07-21 Software - Repository URL - https://forge.inrae.fr/metexplore/kg4j - Programming language - Java - Development Status - Active

Text is read by the "Ask this paper" AI Q&A widget below. Extraction quality varies by source — PMC NXML preserves structure cleanly, OA-HTML may include some navigation residue, and OA-PDF can have broken hyphenation. The publisher copy (via DOI) is the canonical version.

My notes (saved in your browser only)

⚙ Ask this paper AI returns verbatim quotes from the full text · source: oa-doi-fallback ⓘ

Answers must be backed by verbatim quotes from this paper's full text. Hallucinated quotes are dropped automatically; if no verbatim passage answers the question, we say so. How this works

Citation neighborhood (no data yet)

We don't have any in-corpus citations linked to this paper yet. This is a recent paper (2026) — citers typically take a year or two to land, and the OpenAlex reference graph may still be filling in.

Source provenance

openalex
last seen: 2026-10-08T06:07:16.286025+00:00
License: CC0 · commercial use OK