Identification and validation of shared genes and key pathways in endometriosis and endometriosis-associated ovarian cancer by weighted gene co-expression network analysis and machine learning algorithms.

Du, Yongming; Hu, Yichao; Zhang, Fubin; Guan, Yutao; Sheng, Yuehua

Du, Yongming; Hu, Yichao; Zhang, Fubin; Guan, Yutao; Sheng, Yuehua.

Afiliação

Du Y; Department of Gynecology, The First Affiliated Hospital of Ningbo University, Ningbo, Zhejiang, China.
Hu Y; Department of Urology, The First Affiliated Hospital of Ningbo University, Ningbo, Zhejiang, China.
Zhang F; Department of Gynecology, The First Affiliated Hospital of Ningbo University, Ningbo, Zhejiang, China.
Guan Y; Department of Gynecology, The First Affiliated Hospital of Ningbo University, Ningbo, Zhejiang, China.
Sheng Y; Department of Gynecology, The First Affiliated Hospital of Ningbo University, Ningbo, Zhejiang, China.

J Obstet Gynaecol Res ; 49(8): 2135-2150, 2023 Aug.

Article em En | MEDLINE | ID: mdl-37340502

Assuntos

Endometriose; Neoplasias Ovarianas; Humanos; Feminino; Endometriose/patologia; Neoplasias Ovarianas/patologia; Perfilação da Expressão Gênica; Prognóstico; Nomogramas; Microambiente Tumoral

Palavras-chave

WGCNA; endometriosis; endometriosis-associated ovarian cancer; machine learning algorithms

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Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Neoplasias Ovarianas / Endometriose Tipo de estudo: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Limite: Female / Humans Idioma: En Revista: J Obstet Gynaecol Res Assunto da revista: GINECOLOGIA / OBSTETRICIA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China

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