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Open Access

Peer-reviewed

Research Article

Identification of cell senescence-related genes in spontaneous preterm birth based on bioinformatics analysis and machine learning

Guo Juan,

Roles Conceptualization, Writing – original draft, Writing – review & editing

Affiliation Clinical Laboratory, The First Affiliated Hospital of Hebei North University, Zhangjiakou City, Hebei Province, China

https://orcid.org/0009-0000-8078-0876

⨯
Li Ting,

Roles Data curation, Funding acquisition

Affiliation Clinical Laboratory, The First Affiliated Hospital of Hebei North University, Zhangjiakou City, Hebei Province, China
⨯
Wang Yahui,

Roles Formal analysis

Affiliation Clinical Laboratory, The First Affiliated Hospital of Hebei North University, Zhangjiakou City, Hebei Province, China
⨯
Zuo Luguang

Roles Conceptualization, Writing – review & editing

* E-mail: zuoluguang@163.com

Affiliation Clinical Laboratory, The First Affiliated Hospital of Hebei North University, Zhangjiakou City, Hebei Province, China
⨯

Identification of cell senescence-related genes in spontaneous preterm birth based on bioinformatics analysis and machine learning

Guo Juan,
Li Ting,
Wang Yahui,
Zuo Luguang

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Published: January 16, 2026
https://doi.org/10.1371/journal.pone.0340809

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Gene expression
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Preterm birth
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Senescence
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Pregnancy
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Immune cells
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Genetic screens
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Machine learning algorithms
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Placenta
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