Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Rujia Feng"'
Autor:
Jing Tian, Mingzhen Zhu, Zijing Ren, Qiang Zhao, Puqing Wang, Colin K. He, Min Zhang, Xiaochun Peng, Beilei Wu, Rujia Feng, Minglong Fu
Publikováno v:
BMC Bioinformatics, Vol 23, Iss 1, Pp 1-10 (2022)
Abstract Background Gliomas are highly complex and heterogeneous tumors, rendering prognosis prediction challenging. The advent of deep learning algorithms and the accessibility of multi-omic data represent a new approach for the identification of su
Externí odkaz:
https://doaj.org/article/49b23ee70f074fb9a1665e8d14c8887a
Autor:
Jing Tian, Mingzhen Zhu, Zijing Ren, Qiang Zhao, Puqing Wang, Colin K. He, Min Zhang, Xiaochun Peng, Beilei Wu, Rujia Feng, Minglong Fu
Publikováno v:
BMC bioinformatics. 23(1)
Background Gliomas are highly complex and heterogeneous tumors, rendering prognosis prediction challenging. The advent of deep learning algorithms and the accessibility of multi-omic data represent a new approach for the identification of survival-se
Autor:
Tian, Jing1 (AUTHOR), Zhu, Mingzhen1 (AUTHOR), Ren, Zijing1 (AUTHOR), Zhao, Qiang1 (AUTHOR), Wang, Puqing1 (AUTHOR), He, Colin K.2 (AUTHOR), Zhang, Min1 (AUTHOR), Peng, Xiaochun1 (AUTHOR), Wu, Beilei1 (AUTHOR), Feng, Rujia1 (AUTHOR), Fu, Minglong1 (AUTHOR) minglongf@163.com
Publikováno v:
BMC Bioinformatics. 10/11/2022, Vol. 23 Issue 1, p1-10. 10p.
Autor:
Pei-Luen Patrick Rau
The four-volume set LNCS 13311 - 13314 constitutes the refereed proceedings of the 14th International Conference on Cross-Cultural Design, CCD 2022, which was held as part of HCI International 2022 and took place virtually during June 26 - July 1, 20