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Identification of key modules and candidate genes associated with endometriosis based on transcriptome data via bioinformatics analysis.
Zheng, Weilin; Xiang, Dongfang; Wen, Danting; Luo, Meicheng; Liang, Xuefang; Cao, Lixing.
Afiliação
  • Zheng W; Traditional Chinese Medicine Department, Guangdong Second Provincial General Hospital, Guangdong Provincial Emergency Hospital, Guangzhou, China.
  • Xiang D; Department of Gynecology, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China.
  • Wen D; Department of Gynecology, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China.
  • Luo M; Department of Gynecology, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China.
  • Liang X; Department of Gynecology, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China. Electronic address: liangxuefang2006@126.com.
  • Cao L; Department of Gynecology, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China. Electronic address: lixingcao@126.com.
Pathol Res Pract ; 244: 154404, 2023 Apr.
Article em En | MEDLINE | ID: mdl-36996608

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Endometriose Tipo de estudo: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Limite: Female / Humans Idioma: En Revista: Pathol Res Pract Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Endometriose Tipo de estudo: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Limite: Female / Humans Idioma: En Revista: Pathol Res Pract Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China
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