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MMDAE-HGSOC: A novel method for high-grade serous ovarian cancer molecular subtypes classification based on multi-modal deep autoencoder.
Wang, Hui-Qing; Li, Hao-Lin; Han, Jia-Le; Feng, Zhi-Peng; Deng, Hong-Xia; Han, Xiao.
Afiliação
  • Wang HQ; College of Information and Computer, Taiyuan University of Technology, Taiyuan 030024, China. Electronic address: wanghuiqing@tyut.edu.cn.
  • Li HL; College of Information and Computer, Taiyuan University of Technology, Taiyuan 030024, China. Electronic address: lihaolin0427@link.tyut.edu.cn.
  • Han JL; College of Information and Computer, Taiyuan University of Technology, Taiyuan 030024, China.
  • Feng ZP; College of Information and Computer, Taiyuan University of Technology, Taiyuan 030024, China.
  • Deng HX; College of Information and Computer, Taiyuan University of Technology, Taiyuan 030024, China.
  • Han X; College of Information and Computer, Taiyuan University of Technology, Taiyuan 030024, China.
Comput Biol Chem ; 105: 107906, 2023 Aug.
Article em En | MEDLINE | ID: mdl-37336028
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias Ovarianas / MicroRNAs Tipo de estudo: Prognostic_studies Limite: Female / Humans Idioma: En Revista: Comput Biol Chem Assunto da revista: BIOLOGIA / INFORMATICA MEDICA / QUIMICA Ano de publicação: 2023 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias Ovarianas / MicroRNAs Tipo de estudo: Prognostic_studies Limite: Female / Humans Idioma: En Revista: Comput Biol Chem Assunto da revista: BIOLOGIA / INFORMATICA MEDICA / QUIMICA Ano de publicação: 2023 Tipo de documento: Article