Your browser doesn't support javascript.
loading
Prediction of drug efficacy from transcriptional profiles with deep learning.
Zhu, Jie; Wang, Jingxiang; Wang, Xin; Gao, Mingjing; Guo, Bingbing; Gao, Miaomiao; Liu, Jiarui; Yu, Yanqiu; Wang, Liang; Kong, Weikaixin; An, Yongpan; Liu, Zurui; Sun, Xinpei; Huang, Zhuo; Zhou, Hong; Zhang, Ning; Zheng, Ruimao; Xie, Zhengwei.
Afiliação
  • Zhu J; Peking University International Cancer Institute, Health Science Center, Peking University, Beijing, China.
  • Wang J; Department of Pharmacology, School of Basic Medical Sciences, Health Science Center, Peking University, Beijing, China.
  • Wang X; Beijing & Qingdao Langu Pharmaceutical R&D Platform, Beijing Gigaceuticals Tech. Co. Ltd., Beijing, China.
  • Gao M; Department of Pharmacology, School of Basic Medical Sciences, Health Science Center, Peking University, Beijing, China.
  • Guo B; Beijing & Qingdao Langu Pharmaceutical R&D Platform, Beijing Gigaceuticals Tech. Co. Ltd., Beijing, China.
  • Gao M; Department of Anatomy, Histology and Embryology, Neuroscience Research Institute, Health Science Center, Peking University, Beijing, China.
  • Liu J; Peking University International Cancer Institute, Health Science Center, Peking University, Beijing, China.
  • Yu Y; Department of Anatomy, Histology and Embryology, Neuroscience Research Institute, Health Science Center, Peking University, Beijing, China.
  • Wang L; Peking University International Cancer Institute, Health Science Center, Peking University, Beijing, China.
  • Kong W; Department of Pharmacology, School of Basic Medical Sciences, Health Science Center, Peking University, Beijing, China.
  • An Y; State Key Laboratory of Natural and Biomimetic Drugs, School of Pharmaceutical Sciences, Health Science Center, Peking University, Beijing, China.
  • Liu Z; Department of Pharmacology, School of Basic Medical Sciences, Health Science Center, Peking University, Beijing, China.
  • Sun X; Beijing & Qingdao Langu Pharmaceutical R&D Platform, Beijing Gigaceuticals Tech. Co. Ltd., Beijing, China.
  • Huang Z; Peking University International Cancer Institute, Health Science Center, Peking University, Beijing, China.
  • Zhou H; State Key Laboratory of Natural and Biomimetic Drugs, School of Pharmaceutical Sciences, Health Science Center, Peking University, Beijing, China.
  • Zhang N; Department of Pharmacology, School of Basic Medical Sciences, Health Science Center, Peking University, Beijing, China. rainbow_zhou@126.com.
  • Zheng R; Peking University International Cancer Institute, Health Science Center, Peking University, Beijing, China. zhangning@bjmu.edu.cn.
  • Xie Z; Department of Anatomy, Histology and Embryology, Neuroscience Research Institute, Health Science Center, Peking University, Beijing, China. rmzheng@pku.edu.cn.
Nat Biotechnol ; 39(11): 1444-1452, 2021 11.
Article em En | MEDLINE | ID: mdl-34140681

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Aprendizado Profundo Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Animals Idioma: En Revista: Nat Biotechnol Assunto da revista: BIOTECNOLOGIA Ano de publicação: 2021 Tipo de documento: Article País de afiliação: China País de publicação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Aprendizado Profundo Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Animals Idioma: En Revista: Nat Biotechnol Assunto da revista: BIOTECNOLOGIA Ano de publicação: 2021 Tipo de documento: Article País de afiliação: China País de publicação: Estados Unidos