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, Heilongjiang, China

 

Published Papers


1. Zhao-Yue Zhang&, Zi-Jie Sun&, Dong Gao, Yu-Duo Hao, Hao Lin*, Fen Liu*.(2024) Excavation of gene markers associated with pancreatic ductal adenocarcinoma based on interrelationships of gene expression. IET Systems Biology, 2024 Mar 26. doi: 10.1049/syb2.12090. (2022 IF: 2.3)[Full Text]

2. Zhao-Yue Zhang, Zheng Zhang, Xiucai Ye*, Tetsuya Sakurai, Hao Lin*.(2024) A BERT-based model for the prediction of lncRNA subcellular localization in Homo sapiens. International Journal of Biological Macromolecules, 2024 Mar 10;265(Pt 1):130659. (2022 IF: 8.2)[Full Text][Websever]

3. Zhao-Yue Zhang*, Xiao-Wei Liu, Cai-Yi Ma, Yun Wu*.(2023) Identification of secretory proteins in Sus scrofa using machine learning method. Current Bioinformatics, DOI: 10.2174/1574893618666230516144641. (2022 IF: 4.0)[Full Text]

4. Zhao-Yue Zhang, Lin Ning, Xiucai Ye*, Yu-He Yang, Yasunori Futamura, Tetsuya Sakurai, and Hao Lin*.(2022) iLoc-miRNA: Extracellular/Intracellular miRNA Prediction Using Deep BiLSTM with Attention Mechanism. Briefings in Bioinformatics, 2022 Sep 20;23(5):bbac395. (2021 IF: 13.994)[Full Text][Websever]

5. 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, DOI: 10.1007/s11704-021-1015-3. (2020 IF: 2.061)[Full Text][Websever]

6. 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, 2021 Jan 18;22(1):526-535. (2019 IF: 8.99)[Full Text][Websever]

7. Hao Wang &, Zhao-Yue Zhang &, Haicheng Li &, Jinzhao Li, Hanshuang Li, Mingzhu Liu, Pengfei Liang, Qilemuge Xi, Yongqiang Xing*, Lei Yang*, Yongchun Zuo*.(2023) A cost-effective machine learning-based method for preeclampsia risk assessment and driver genes discovery. Cell & Bioscience, 2023 Feb 28;13(1):41. (2021 IF: 9.597)[Full Text]

8. 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, 2021 May 7;49(8):e46. (2020 IF: 16.971)[Full Text][Websever]

9. Hong-Yan Lai &, Zhao-Yue Zhang &, Zhen-Dong Su, Wei Su, Hui Ding, Wei Chen*, Hao Lin*.(2020) iProEP: a computational predictor for predicting promoter. Molecular Therapy - Nucleic Acids, 2019 Sep 6;17:337-346. (2019 IF: 7.032)[Full Text][Websever]

10. Chao-Qin Feng, Zhao-Yue Zhang, Xiao-Juan Zhu, Yan Lin, Wei Chen*, Hua Tang*, Hao Lin*.(2018) iTerm-PseKNC: a sequence-based tool for predicting bacterial transcriptional terminators. Bioinformatics, 2019 May 1;35(9):1469-1477. (2017 IF: 5.481)[Full Text][Websever]

11. Hasan Zulfiqar*, Zahoor Ahmed, Bakanina Kissanga Grace-Mercure, Farwa Hassan, Zhao-Yue Zhang*, Fen Liu*.(2023) Computational prediction of promotors in Agrobacterium Tumefaciens Strain C58 by using machine learning technique. Frontiers in Microbiology, 2023 Apr 13;14:1170785. (2021 IF: 6.064)[Full Text]

12. Hasan Zulfiqar, Zhiling Guo, Bakanina Kissanga Grace-Mercure, Zhao-Yue Zhang, Hui Gao*, Hao Lin*, Yun Wu*.(2023) Empirical Comparison and Recent Advances of Computational Prediction of Hormone Binding Proteins Using Machine Learning Methods . Computational and Structural Biotechnology Journal, 2023 Mar 17;21:2253-2261. (2021 IF: 6.155)[Full Text]

13. Fu-Ying Dao, Meng-Lu Liu, Wei Su, Hao Lv, Zhao-Yue Zhang, Hao Lin*, Li Liu*..(2023) AcrPred: A hybrid optimization with enumerated machine learning algorithm to predict Anti-CRISPR proteins. International Journal of Biological Macromolecules, 228: 706-714. (2021 IF: 8.025)[Full Text]

14. Shi-Shi Yuan, Dong Gao, Xue-Qin Xie, Cai-Yi Ma, Wei Su,Zhao-Yue Zhang*, Yan Zheng*, and Hui Ding*.(2022) IBPred: a sequence-based predictor for identifying ion binding protein in phage. Computational and Structural Biotechnology Journal, 2022 Aug 28;20:4942-4951. (2021 IF: 6.155)[Full Text]

15. Hasan Zulfiqar, Zahoor Ahmed , Cai-Yi Ma, Rida Sarwar Khan, Bakanina Kissanga Grace-Mercure, Xiao-Long Yu , Zhao-Yue Zhang*.(2022) Comprehensive prediction of lipocalin proteins using artificial intelligence strategy. Frontiers in Bioscience-Landmark, 2022 Mar 5;27(3):84. (2021 IF: 3.115)[Full Text]

16. Zahoor Ahmed, Hasan Zulfiqar, Abdullah Aman Khan, Ijaz Gul, Fu-Ying Dao, Zhao-Yue Zhang*, Xiao-Long Yu*, Lixia Tang*.(2022) iThermo: A Sequence-Based Model for Identifying Thermophilic Proteins Using a Multi-Feature Fusion Strategy. Frontiers in Microbiology, 2022 Feb 22;13:790063. (2021 IF: 5.64)[Full Text]

17. Mujiexin Liu, Hui Chen, Dong Gao, Cai-Yi Ma, Zhao-Yue Zhang*.(2022) Identification of Helicobacter pylori Membrane Proteins Using Sequence-Based Features. Computational and mathematical methods in medicine, 2022 Jan 12;2022:7493834. (2021 IF: 2.809)[Full Text]

18. Fu-Ying Dao; Hao Lv; Zhao-Yue Zhang; Hao Lin.(2022) BDselect: A Package for k-mer Selection Based on the Binomial Distribution. Current Bioinformatics, Volume 17, Number 3, 2022, pp. 238-244(7) (2021 IF: 4.85)[Full Text][Websever]

19. 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 Jan 7;2021:6664362. (2020 IF: 2.238)[Full Text][Websever]

20. Yu-He Yang, Jia-Shu Wang, Shi-Shi Yuan, Meng-Lu Liu, Wei Su, Zhao-Yue Zhang*, Hao Lin*.(2021) A Survey for Predicting ATP Binding Residues of Proteins Using Machine Learning Methods. Current Medicinal Chemistry, 2022;29(5):789-806. (2020 IF: 4.53)[Full Text]

21. 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 Biotechnolog, 2020 Mar 27;8:254. (2019 IF: 3.644)[Full Text]

22. 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, 2018 Dec 15;34(24):4196-4204. (2017 IF: 5.481)[Full Text][Websever]

23. Wenxia Su, Shuyi Deng, Zhifeng Gu, Keli Yang, Hui Ding, Hui Chen* and Zhaoyue Zhang*.(2023) Prediction of apoptosis protein subcellular location based on amphiphilic pseudo amino acid composition. Frontiers in Genetics, 2023 Feb 28;14:1157021 (2022 IF: 3.7)[Full Text][Websever]

24. Wenxia Su, Xiaojun Qian, Keli Yang, Hui Ding, Chengbing Huang* and Zhaoyue Zhang*.(2023) Recognition of outer membrane proteins using multiple feature fusion. Frontiers in Genetics, 2023 Jun 7;14:1211020. (2022 IF: 3.7)[Full Text][Websever]