Identification and validation of novel marker genes to predict potential gestational diabetes mellitus patients by WGCNA and machine learning

Four key marker genes for predicting potential GDM were identified, including SNRPD3, NGDN, ANKRD36 and TAS2R20, and a nomogram was established for predicting potential GDM patients.

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Publication Details

Journal
Ginekologia Polska
Published
2025-10-19
DOI
https://doi.org/10.5603/gpl.101605
Primary Topic
Artificial Intelligence in Healthcare
Type
article
Field-Weighted Citation Impact
0.00
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article

Identification and validation of novel marker genes to predict potential gestational diabetes mellitus patients by WGCNA and machine learning

Shasha Yu, H H Tan
Ginekologia Polska
Artificial Intelligence in Healthcare
article

Identification and validation of novel marker genes to predict potential gestational diabetes mellitus patients by WGCNA and machine learning

Shasha Yu, H H Tan
article en

Abstract

Four key marker genes for predicting potential GDM were identified, including SNRPD3, NGDN, ANKRD36 and TAS2R20, and a nomogram was established for predicting potential GDM patients.

Ginekologia Polska
Weifang People's Hospital (CN)
Openalex Percentile: Top 66%
Artificial Intelligence in Healthcare
DOIOpen Access PDFOpenAlex
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