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Assessing the clinical utility of multi-omics data for predicting serous ovarian cancer prognosis.
Zhang, Zhe; Wei, Zhiyao; Zhao, Luyang; Gu, Chenglei; Meng, Yuanguang.
Affiliation
  • Zhang Z; Department of Obstetrics and Gynecology, Seventh Medical Center of Chinese, PLA General Hospital, Beijing, P.R. China.
  • Wei Z; Department of Obstetrics and Gynecology, Seventh Medical Center of Chinese, PLA General Hospital, Beijing, P.R. China.
  • Zhao L; Department of Obstetrics and Gynecology, Seventh Medical Center of Chinese, PLA General Hospital, Beijing, P.R. China.
  • Gu C; Department of Obstetrics and Gynecology, Seventh Medical Center of Chinese, PLA General Hospital, Beijing, P.R. China.
  • Meng Y; Department of Obstetrics and Gynecology, Seventh Medical Center of Chinese, PLA General Hospital, Beijing, P.R. China.
J Obstet Gynaecol ; 43(1): 2171778, 2023 Dec.
Article in En | MEDLINE | ID: mdl-36803381
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Full text: 1 Database: MEDLINE Main subject: Ovarian Neoplasms / Multiomics Type of study: Prognostic_studies / Risk_factors_studies Limits: Female / Humans Language: En Journal: J Obstet Gynaecol Year: 2023 Type: Article
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Full text: 1 Database: MEDLINE Main subject: Ovarian Neoplasms / Multiomics Type of study: Prognostic_studies / Risk_factors_studies Limits: Female / Humans Language: En Journal: J Obstet Gynaecol Year: 2023 Type: Article