Hao Lin Hui Ding Assitant Students Postdoc Visiting Scholars Alumni Position

Fu-Ying Dao Ph.D. candidate

Fu-Ying Dao is the Ph.D. candidate of Center for Informational Biology and the Key Laboratory for NeuroInformation of Ministry of Education in UESTC (Superviser: Hao Lin). Her research focus is pattern recognition of gene sequence function.

Google Scholar:  Fu-Ying Dao

E-mail: fydao@std.uestc.edu.cn


Education and Training

2019-now Ph.D. candidate in Bioinformatics, University of Electronic Science and Technology, Sichuan, China

2016-2019 M.S in Bioinformatics, University of Electronic Science and Technology, Sichuan, China

2012-2016 B.S in Biotechnology, University of Electronic Science and Technology, Sichuan, China


First-author Papers

9. Fu-Ying Dao, Hao Lv, Zhao-Yue Zhang, Hao Lin*. (2021) BDselect: a package for k-mer selection based on binomial distribution. Current Bioinformatics, accepted. (2020 IF: 3.543)

8. Fu-Ying Dao, Hao Lv, Wei Su, Zi-Jie Sun, Qin-Lai Huang, Hao Lin* (2021) iDHS-Deep: An integrated tool for predicting DNase I hypersensitive sites by deep neural network. Briefings in Bioinformatics, DOI:10.1093/bib/bbab047. (2020 IF: 11.622)

7. Fu-Ying Dao, Hao Lv, Dan Zhang, Zi-Mei Zhang, Li Liu*, Hao Lin*. (2021) DeepYY1: a deep learning approach to identify YY1-mediated chromatin loops. Briefings in Bioinformatics, DOI:10.1093/bib/bbaa356. (2020 IF: 11.622)

6. Hao Lv&, Fu-Ying Dao&, Hasan Zulfiqar, Wei Su, Hui Ding, Li Liu*, Hao Lin* (2021) A sequence-based deep learning approach to predict CTCF-mediated chromatin loop. Briefings in Bioinformatics, DOI:10.1093/bib/bbab031. (2020 IF: 11.622)

5. Fu-Ying Dao, Hao Lv, Hasan Zulfiqar, Hui Yang, Wei Su, Hui Gao, Hui Ding, Hao Lin*. (2021) A computational platform to identify origins of replication sites in eukaryotes. Briefings in Bioinformatics, DOI: 10.1093/bib/bbaa017. (2020 IF: 11.622)

4. Fu-Ying Dao &, Hao Lv &, Yu-He Yang, Hasan Zulfiqar, Hui Gao, Hao Lin*. (2020) Computational identification of N6-Methyladenosine sites in multiple tissues of mammals. Computational and Structural Biotechnology Journal, DOI: 10.1016/j.csbj.2020.04.015. (2019 IF: 6.018)

3. Fu-Ying Dao, Hao Lv, Fang Wang, Chao-Qin Feng, Hui Ding*, Wei Chen*, Hao Lin*. (2019) Identify origin of replication in Sccharomyces cerevisiae using two-step feature selection technique. Bioinformatics, 35(12):2075-2083. (2018 IF: 4.531)

2. Fu-Ying Dao, Hao Lv, Fang Wang, Hui Ding*. (2018) Recent advances on the machine learning methods in identifying DNA replication origins in eukaryotic genomics. Frontiers in Genetics, 9: 613. (2017 IF: 4.151)

1. Fu-Ying Dao, Hui Yang, Zhen-Dong Su, Wuritu Yang, Yun Wu, Ding Hui, Wei Chen*, Hua Tang*, Hao Lin*. (2017) Recent advances in conotoxin classification by using machine learning methods. Molecules, 22: 1057. (2016 IF: 2.861)