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Open Access

Peer-reviewed

Research Article

Analysis of potential genetic biomarkers and molecular mechanism of smoking-related postmenopausal osteoporosis using weighted gene co-expression network analysis and machine learning

Shaoshuo Li,

Roles Conceptualization, Data curation, Formal analysis, Methodology, Software, Supervision, Validation, Visualization, Writing – original draft, Writing – review & editing

Affiliation Nanjing University of Chinese Medicine, Nanjing, P.R. China
⨯
Baixing Chen,

Roles Data curation, Formal analysis, Writing – original draft

Affiliation Department of Development and Regeneration, KU Leuven, University of Leuven, Leuven, Belgium
⨯
Hao Chen,

Roles Formal analysis

Affiliation Department of Traumatology & Orthopedics, Wuxi Affiliated Hospital of Nanjing University of Chinese Medicine, Wuxi, P.R. China
⨯
Zhen Hua,

Roles Investigation

Affiliation Department of Traumatology & Orthopedics, Wuxi Affiliated Hospital of Nanjing University of Chinese Medicine, Wuxi, P.R. China
⨯
Yang Shao,

Roles Investigation

Affiliation Department of Traumatology & Orthopedics, Wuxi Affiliated Hospital of Nanjing University of Chinese Medicine, Wuxi, P.R. China
⨯
Heng Yin,

Roles Project administration, Writing – review & editing

Affiliation Department of Traumatology & Orthopedics, Wuxi Affiliated Hospital of Nanjing University of Chinese Medicine, Wuxi, P.R. China
⨯
Jianwei Wang

Roles Project administration, Writing – review & editing

* E-mail: wxwangjianwei1963@126.com

Affiliation Department of Traumatology & Orthopedics, Wuxi Affiliated Hospital of Nanjing University of Chinese Medicine, Wuxi, P.R. China

https://orcid.org/0000-0002-2484-7922

⨯

Analysis of potential genetic biomarkers and molecular mechanism of smoking-related postmenopausal osteoporosis using weighted gene co-expression network analysis and machine learning

Shaoshuo Li,
Baixing Chen,
Hao Chen,
Zhen Hua,
Yang Shao,
Heng Yin,
Jianwei Wang

x

Published: September 23, 2021
https://doi.org/10.1371/journal.pone.0257343

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Genetic networks
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Osteoporosis
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Gene expression
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Biomarkers
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Machine learning algorithms
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Genome analysis
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B cells
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Network analysis
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