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Development of a molecular feature-based survival prediction model of ovarian cancer using the deep neural network.
Lang, Tingyuan; Yang, Muyao; Xia, Yunqiu; Liu, Jingshu; Li, Yunzhe; Yang, Lingling; Cui, Chenxi; Hu, Yunran; Luo, Yang; Zou, Dongling; Zhou, Lei; Fu, Zhou; Zhou, Qi.
Afiliação
  • Lang T; Department of Gynecologic Oncology, Chongqing University Cancer Hospital & Chongqing Cancer Institute & Chongqing Cancer Hospital, Chongqing 400030, China.
  • Yang M; Reproductive Medicine Center, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400042, China.
  • Xia Y; Bioengineering College of Chongqing University, Chongqing 400044, China.
  • Liu J; Department of Dermatology, Ministry of Education Key Laboratory of Child Development and Disorders, National Clinical Research Center for Child Health and Disorders, China.
  • Li Y; International Science and Technology Cooperation Base of Child Development and Critical Disorders, Chongqing Engineering Research Center of Stem Cell Therapy, Children's Hospital of Chongqing Medical University, Chongqing, China.
  • Yang L; Department of Gynaecology and Obstetrics, Reproductive Medicine Center, The Second Affiliated Hospital, Chongqing Medical University, Chongqing 400030, China.
  • Cui C; School of Medicine, Chongqing University, Chongqing 400044, China.
  • Hu Y; School of Medicine, Chongqing University, Chongqing 400044, China.
  • Luo Y; School of Medicine, Chongqing University, Chongqing 400044, China.
  • Zou D; Department of Pharmacy, Affiliated Drum Tower Hospital of Nanjing University Medical School, Nanjing 210008, China.
  • Zhou L; School of Basic Medicine and Clinical Pharmacy, China Pharmaceutical University, Nanjing 210009, Jiangsu Province, China.
  • Fu Z; Center of Smart Laboratory and Molecular Medicine, School of Medicine, Chongqing University, Chongqing 400044, China.
  • Zhou Q; Department of Gynecologic Oncology, Chongqing University Cancer Hospital & Chongqing Cancer Institute & Chongqing Cancer Hospital, Chongqing 400030, China.
Genes Dis ; 10(4): 1190-1193, 2023 Jul.
Article em En | MEDLINE | ID: mdl-37397532

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article