Your browser doesn't support javascript.
loading
Local augmented graph neural network for multi-omics cancer prognosis prediction and analysis.
Zhang, Yongqing; Xiong, Shuwen; Wang, Zixuan; Liu, Yuhang; Luo, Hong; Li, Beichen; Zou, Quan.
Affiliation
  • Zhang Y; School of Computer Science, Chengdu University of Information Technology, Chengdu, 610225, China.
  • Xiong S; School of Computer Science, Chengdu University of Information Technology, Chengdu, 610225, China.
  • Wang Z; School of Computer Science, Chengdu University of Information Technology, Chengdu, 610225, China.
  • Liu Y; School of Computer Science, Chengdu University of Information Technology, Chengdu, 610225, China.
  • Luo H; School of Computer Science, Chengdu University of Information Technology, Chengdu, 610225, China.
  • Li B; School of Computer Science, Chengdu University of Information Technology, Chengdu, 610225, China.
  • Zou Q; Institute of Fundamental and Frontier Sciences, University of Electronic Science and Technology of China, Chengdu, 610054, China. Electronic address: zouquan@nclab.net.
Methods ; 213: 1-9, 2023 05.
Article in En | MEDLINE | ID: mdl-36933628
Subject(s)
Key words
Fulltext
Add to My VHL
Print
XML
PubMed Links
Search on Google

Full text: 1 Database: MEDLINE Main subject: Breast Neoplasms / Multiomics Type of study: Guideline / Prognostic_studies / Risk_factors_studies Limits: Female / Humans Language: En Journal: Methods Journal subject: BIOQUIMICA Year: 2023 Type: Article Affiliation country: China
Fulltext
Add to My VHL
Print
XML
PubMed Links
Search on Google

Full text: 1 Database: MEDLINE Main subject: Breast Neoplasms / Multiomics Type of study: Guideline / Prognostic_studies / Risk_factors_studies Limits: Female / Humans Language: En Journal: Methods Journal subject: BIOQUIMICA Year: 2023 Type: Article Affiliation country: China