Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Jeongyoung Hwang"'
Autor:
Sehwan Moon, Youngsuk Lee, Jeongyoung Hwang, Chul Gu Kim, Jong Woo Kim, Won Tae Yoon, Jae Hui Kim
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-10 (2023)
Abstract To develop an artificial intelligence (AI) model that predicts anti-vascular endothelial growth factor (VEGF) agent-specific anatomical treatment outcomes in neovascular age-related macular degeneration (AMD), thereby assisting clinicians in
Externí odkaz:
https://doaj.org/article/e24b8c92b2e14421892cb34a94b7e7bc
Autor:
Jeongyoung Hwang, Hyunju Lee
Publikováno v:
IEEE Access, Vol 10, Pp 120155-120167 (2022)
Integration of multiple biological datasets is crucial to understand comprehensive biological mechanisms with the aid of a rapid development of biomedical technology. However, the predictive modeling for such an integrated dataset faces two major cha
Externí odkaz:
https://doaj.org/article/d13001021b3048979696774a73c59c9a
Publikováno v:
Journal of Computational Biology. 29:892-907
Integration of multi-omics data provides opportunities for revealing biological mechanisms related to certain phenotypes. We propose a novel method of multi-omics integration called supervised deep generalized canonical correlation analysis (SDGCCA)