Hao Lin Hui Ding Assitant Students Visiting Scholars Alumni Position

Zhao-Yue Zhang Research Assistant

Zhao-Yue Zhang is a research assistant of Center for Informational Biology and the Key Laboratory for NeuroInformation of Ministry of Education in UESTC (principal investigator: Hao Lin). Her research focus is pattern recognition of RNA function.

E-mail: zyzhang@uestc.edu.cn


Education and Training

2020-Present     Research assistant
School of Life Science and Technology and Center for Informational Biology, University of Electronic Science and Technology, Sichuan, China

2017-2020         MSc in Biophysics
University of Electronic Science and Technology, Sichuan, China

2012-2017         BSc in in Bioinformatics
Harbin Medical University BSc in University of Electronic Science and Technology, Sichuan, China


Published Papers

1. Zhao-Yue Zhang, Zi-Jie Sun, Yu-He Yang, Hao Lin* (2021) Towards a better prediction of subcellular location of long non-coding RNA. Frontiers of Computer Science, accepted. (2019 IF: 1.275) [Full Text] [Websever]

2. Duolin Wang, Zhao-Yue Zhang, Yuexu Jiang, Ziting Mao, Dong Wang*, Hao Lin*, Dong Xu*. (2021) DM3Loc: Multi-label mRNA subcellular localization prediction and analysis based on multi-head self-attention mechanism. Nucleic Acids Research, doi: 10.1093/nar/gkab016. (2019 IF: 11.501) [Full Text] [Websever]

3. Dan Zhang, Hua-Dong Chen, Hasan Zulfiqar, Shi-Shi Yuan, Qin-Lai Huang, Zhao-Yue Zhang*, Ke-Jun Deng*. (2021) iBLP: An XGBoost-Based Predictor for Identifying Bioluminescent Proteins. Computational and Mathematical Methods in Medicine, 2021:6664362. (2019 IF = 1.770) [Full Text] [Websever]

4. Zhao-Yue Zhang, Yu-He Yang, Hui Ding, Dong Wang*, Wei Chen*, Hao Lin*. (2020) Design powerful predictor for mRNA subcellular location prediction in Homo sapiens. Briefings in Bioinformatics, 22(1): 526–535. (2019 IF: 8.990) [Full Text] [Websever]

5. Hong-Yan Lai &, Zhao-Yue Zhang &, Zhen-Dong Su, Wei Su, Hui Ding, Wei Chen*, Hao Lin*. (2019) iProEP: a computational predictor for predicting promoter. Molecular Therapy - Nucleic Acids, 17: 337-346. (2018 IF: 5.919) [Full Text] [Websever]

6. Chao-Qin Feng, Zhao-Yue Zhang, Xiao-Juan Zhu, Yan Lin, Wei Chen*, Hua Tang*, Hao Lin*. (2019) iTerm-PseKNC: a sequence-based tool for predicting bacterial transcriptional terminators. Bioinformatics, 35(9): 1469-1477. (2018 IF: 4.531) [Full Text] [Websever]

7. Zhen-Dong Su, Yan Huang, Zhao-Yue Zhang, Ya-Wei Zhao, Dong Wang, Wei Chen*, Kuo-Chen Chou*, Hao Lin*. (2018) iLoc-lncRNA: predict the subcellular location of lncRNAs by incorporating octamer composition into general PseKNC. Bioinformatics, 34(24): 4196-4204. (2017 IF: 5.481) [Full Text] [Websever]

8. Zi-Mei Zhang, Jiu-Xin Tan, Fang Wang, Fu-Ying Dao, Zhao-Yue Zhang, Hao Lin*. (2020) Early Diagnosis of Hepatocellular Carcinoma Using Machine Learning Method. Frontiers in Bioengineering and Biotechnology, 8: 254. (2019 IF: 3.644) [Full Text]