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A heterogeneous graph neural network for candidate gene prediction in endometriosis.

Precision medicine applications depend on elucidating the underlying molecular mechanisms of disease. However, many disorders, such as endometriosis, remain poorly characterised genetically due to data scarcity, positive-unlabelled (PU) imbalance, and …

Published: March 23, 2026, midnight
Bioinformatics analysis to identify environmental endocrine chemicals that target endometriosis genes.

Endometriosis (EMS) significantly impacts women's health and is influenced by genetic factors and environmental endocrine-disrupting chemicals (EDCs), which interfere with hormonal balance. Using the Gene Expression Omnibus database, we identified …

Published: April 4, 2025, midnight
miR-193b-5p and miR-374b-5p Are Aberrantly Expressed in Endometriosis and Suppress Endometrial Cell Migration In Vitro.

(1) Background: Endometriosis is a highly prevalent gynecological disease affecting 10% of women of reproductive age worldwide. miRNAs may play a role in endometriosis, though their exact function remains unclear. …

Published: Nov. 3, 2024, midnight
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