Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Minglong Fu"'
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:
Jingyi Xu, Fei Liu, Wei Liu, Liang Yuan, Yuanyuan Li, Qiongqiong Li, Guo Hua, Minglong Fu, Jian Wang, Zhanbei Zhu, Xiansheng Zeng, Lingzhu Chen, Xuejiao Yang, Xiaohui Xie, Zhuowei Li, Qiaoxin Huang, Lan Wang, Fanjie Lin, Bingxian Deng, E Guo, Xiaodan Zhang, Zhou Cai, Yongxuan Gao, Wenju Lu, Zili Zhang, Yun Bai, Nanshan Zhong, Qinghui Huang
Objectives: The pandemic of the coronavirus disease 2019 (COVID-19) continuously poses a serious threat to public health, highlighting an urgent need for simple and efficient early detection and prediction. Methods: We comprehensively investigated an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ec9917eac4f96c5670ba0368c6955f6e
https://doi.org/10.21203/rs.3.rs-99500/v1
https://doi.org/10.21203/rs.3.rs-99500/v1