Zhe Liu 刘哲

Ph.D.

Dept. of Computer Science
City Uinversity of Hong Kong, Hong Kong

Email-1: liuzhehayida AT gmail DOT com
Email-1: zliu39-c AT my DOT cityu DOT edu DOT hk

Biography

I obtained my Ph.D. in the Department of Computer Science, City University of Hong Kong, under the supervision of Prof. Ka-Chun WONG (http://bioinfo.cs.cityu.edu.hk/). My research interests lie primarily in computational biology.

Selected Publications [Google Scholar]

	MotifHub: Detection of trans-acting DNA motif group with probabilistic modeling algorithm Zhe Liu, Hiu-Man Wong, Xingjian Chen, Jiecong Lin, Shixiong Zhang, Shankai Yan, Fuzhou Wang, Xiangtao Li, Ka-Chun Wong Computers in Biology and Medicine 2024 [paper]
	Construction of Immune Infiltration-related LncRNA signatures based on machine learning for the prognosis in Colon cancer Zhe Liu, Olutomilayo Olayemi Petinrin, Muhammad Toseef, Nanjun Chen, Ka-Chun Wong Biochemical Genetics 2024 [paper]
	Uncovering the ceRNA network related to the prognosis of stomach adenocarcinoma among 898 patient samples Zhe Liu, Fang Liu, Olutomilayo Olayemi Petinrin, Fuzhou Wang, Yu Zhang, Ka-Chun Wong Biochemical Genetics 2024 [paper]
	Risk scoring based on DNA methylation-driven related DEGs for colorectal cancer prognosis with systematic insights Zhe Liu, Ilias Georgakopoulos-Soares, Nadav Ahituv, Ka-Chun Wong Life Sciences 2023 [paper]
	The comprehensive and systematic identification of BLCA-specific SF-regulated, survival-related AS events Zhe Liu, Xudong Liu, Fang Liu, Hui Zhao, Yu Zhang, Yafan Wang, Ying Ma, Fuzhou Wang, Weitong Zhang, Olutomilayo Olayemi Petinrin, Zhongyu Yao, Jingbo Liang, Qian He, Dayun Feng, Lei Wang, Ka-Chun Wong Gene 2022 [paper]
	Identification of potential COPD genes based on multi-omics data at the functional level Zhe Liu, Wan Li, Junjie Lv, Ruiqiang Xie, Hao Huang, Yiran Li, Yuehan He, Jing Jiang, Binbin Chen, Shanshan Guo, Lina Chen Molecular BioSystems 2016 [paper]
	Analysis of cellular heterogeneity in immune microenvironment of primary central nervous system lymphoma by single-cell sequencing Boyuan Wei, Zhe Liu, Yue Fan, Shuwei Wang, Chao Dong, Wei Rao, Fan Yang, Gang Cheng, Jianning Zhang Frontiers in oncology 2021 [paper]
	Deep transfer learning for clinical decision-making based on high-throughput data: comprehensive survey with benchmark results Muhammad Toseef, Olutomilayo Olayemi Petinrin, Fuzhou Wang, Saifur Rahaman, Zhe Liu, Xiangtao Li, Ka-Chun Wong Briefings in bioinformatics 2023 [paper]
	Identification of hub genes in colorectal cancer based on weighted gene co-expression network analysis and clinical data from The Cancer Genome Atlas Yu Zhang, Jia Luo, Zhe Liu, Xudong Liu, Ying Ma, Bohang Zhang, Yuxuan Chen, Xiaofeng Li, Zhiguo Feng, Ningning Yang, Dayun Feng, Lei Wang, Xinqiang Song BIOSCIENCE REPORT, 2021 [paper]
	Machine learning in metastatic cancer research: Potentials, possibilities, and prospects Olutomilayo Olayemi Petinrin, Faisal Saeed, Muhammad Toseef, Zhe Liu, Shadi Basurra, Ibukun Omotayo Muyide, Xiangtao Li, Qiuzhen Lin, Ka-Chun Wong Computational and Structural Biotechnology Journal 2023 [paper]