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Identification of molecular marker associated with ovarian cancer prognosis using bioinformatics analysis and experiments.
Zheng, Ming-Jun; Li, Xiao; Hu, Yue-Xin; Dong, Hui; Gou, Rui; Nie, Xin; Liu, Qing; Ying-Ying, Hao; Liu, Juan-Juan; Lin, Bei.
Afiliação
  • Zheng MJ; Department of Obstetrics and Gynecology, Shengjing Hospital Affiliated to China Medical University, Shenyang, China.
  • Li X; Department of Obstetrics and Gynecology, Shengjing Hospital Affiliated to China Medical University, Shenyang, China.
  • Hu YX; Department of Obstetrics and Gynecology, Shengjing Hospital Affiliated to China Medical University, Shenyang, China.
  • Dong H; Department of Obstetrics and Gynecology, Shengjing Hospital Affiliated to China Medical University, Shenyang, China.
  • Gou R; Department of Obstetrics and Gynecology, Shengjing Hospital Affiliated to China Medical University, Shenyang, China.
  • Nie X; Department of Obstetrics and Gynecology, Shengjing Hospital Affiliated to China Medical University, Shenyang, China.
  • Liu Q; Department of Obstetrics and Gynecology, Shengjing Hospital Affiliated to China Medical University, Shenyang, China.
  • Ying-Ying H; Department of Obstetrics and Gynecology, Shengjing Hospital Affiliated to China Medical University, Shenyang, China.
  • Liu JJ; Department of Obstetrics and Gynecology, Shengjing Hospital Affiliated to China Medical University, Shenyang, China.
  • Lin B; Department of Obstetrics and Gynecology, Shengjing Hospital Affiliated to China Medical University, Shenyang, China.
J Cell Physiol ; 234(7): 11023-11036, 2019 07.
Article em En | MEDLINE | ID: mdl-30633343
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Ovarianas / Prognóstico / Regulação Neoplásica da Expressão Gênica / Biologia Computacional Tipo de estudo: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Limite: Female / Humans / Middle aged Idioma: En Revista: J Cell Physiol Ano de publicação: 2019 Tipo de documento: Article País de afiliação: China País de publicação: Estados Unidos
Texto completo
Adicionar na Minha BVS
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Ovarianas / Prognóstico / Regulação Neoplásica da Expressão Gênica / Biologia Computacional Tipo de estudo: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Limite: Female / Humans / Middle aged Idioma: En Revista: J Cell Physiol Ano de publicação: 2019 Tipo de documento: Article País de afiliação: China País de publicação: Estados Unidos