Hao Lin Hui Ding Assitant Students Postdoc Visiting Scholars Alumni Position

Hao Lv Ph.D. candidate

Hao Lv 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). His research focus is pattern recognition of gene sequence function.

Google Scholar:  Hao Lv

E-mail: haolv(at)std.uestc.edu.cn/hao.lyu(at)mls.uzh.ch
 

Education and Training

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

2017-2019 M.S in Bioinformatics, University of Electronic Science and Technology, Sichuan, China

2013-2017 B.S in Bioinformatics, Shanxi Agricultural University, Shanxi, China

 

Published Papers


27. Hao Lv&, Yang Zhang&, Jia-Shu Wang, Shi-Shi Yuan, Zi-Jie Sun, Fu-Ying Dao, Zheng-Xing Guan, Hao Lin*, Ke-Jun Deng*. (2021) iRice-MS: an integrated XGBoost model for detecting multi-type post-translational modification sites in rice. Briefings in Bioinformatics, accepted. (2020 IF: 11.622)

26. Hao Lv, Fu-Ying Dao, Dan Zhang, Hui Yang, Hao Lin*. (2021) Advances in mapping the epigenetic modifications of 5-methylcytosine (5mC), N6-methyladenine (6mA), and N4-methylcytosine (4mC). Biotechnology and Bioengineering, doi: 10.1002/bit.27911. (2020 IF: 4.530)

25. Hao Lv, Lei Shi, Joshua William Berkenpas, Fu-Ying Dao, Hasan Zulfiqar, Hui Ding, Yang Zhang*, Liming Yang*, Renzhi Cao*. (2021) Application of artificial intelligence and machine learning for COVID-19 drug discovery and vaccine design. Briefings in Bioinformatics, accepted. (2020 IF: 11.622)

24. Hao Lv, Fu-Ying Dao, Hasan Zulfiqar, Hao Lin*. (2021) DeepIPs: comprehensive assessment and computational identification of phosphorylation site of SARS-CoV-2 infection using a deep learning-based approach. Briefings in Bioinformatics, DOI:10.1093/bib/bbab244. (2020 IF: 11.622)

23. 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)

22. Hao Lv, Fu-Ying Dao, Zheng-Xing Guan, Hui Yang, Yan-Wen Li*, and Hao Lin*. (2021) Deep-Kcr: accurate detection of lysine crotonylation sites using deep learning method. Briefings in Bioinformatics, Doi:10.1093/bib/bbaa255. (2020 IF: 11.622)

21. Hao Lv, Zi-Mei Zhang, Shi-Hao Li, Jiu-Xin Tan, Wei Chen*, Hao Lin*. (2020) Evaluation of different computational methods on 5-methylcytosine sites identification. Briefings in Bioinformatics, DOI: 10.1093/bib/bbz048. (2019 IF: 8.990)

20. Hao Lv, Fu-Ying Dao, Dan Zhang, Zheng-Xing Guan, Hui Yang, Wei Su, Meng-Lu Liu, Hui Ding, Wei Chen, Hao Lin*. (2020) iDNA-MS: an integrated computational tool for detecting DNA modification sites in multiple genomes. iScience, DOI: 10.1016/j.isci.2020.100991. (2019 IF: 4.447)

19. Hao Lv, Fu-Ying Dao, Zheng-Xing Guan, Dan Zhang, Jiu-Xin Tan, Yong Zhang*, Wei Chen*, Hao Lin*. (2019) iDNA6mA-Rice: a computational tool for detecting N6-methyladenine sites in rice. Frontiers in Genetics, DOI: 10.3389/fgene.2019.00793. (2018 IF: 3.517)

18. 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. (2018 IF: 4.72)

17. 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)

16. 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)

15. 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)

14. 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)

13. Wei Chen*, Hao Lv, Fulei Nie, Hao Lin*. (2018) i6mA-Pred:Identifying DNA N6-methyladenine sites in the rice genome. Bioinformatics, DOI: 10.1093/bioinformatics/btz015. (2018 IF: 4.531)

12. Jiu-Xin Tan, Hao Lv, Fang Wang, Fu-Ying Dao, Wei Chen*, Hui Ding*. (2019) A survey for predicting enzyme family classes using machine learning methods. Current Drug Targets, 20(5): 540-550. (2018 IF: 2.642)

11. 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)

10. Hui Yang, Hao Lv, Hui Ding, Wei Chen*, Hao Lin*. (2018) iRNA-2OM: A sequence-based predictor for identifying 2’-O-methylation sites in Homo sapiens. Journal of Computational Biology, 25(11): 1266-1277. (2017 IF: 1.191)

9. Dan Zhang&, Zhao-Chun Xu&, Wei Su, Yu-He Yang, Hao Lv, Hui Yang, Hao Lin*. (2021) iCarPS: a computational tool for identifying protein carbonylation sites by novel encoded features. Bioinformatics, 37(2): 171-177. (2019 IF: 5.610)

8. Wei Su, Meng-Lu Liu, Yu-He Yang, Jia-Shu Wang, Shi-Hao Li, Hao Lv, Fu-Ying Dao, Hui Yang, Hao Lin* (2021) PPD: A Manually Curated Database for Experimentally Verified Prokaryotic Promoters. Journal of Molecular Biology, 433: 166860. (2019 IF: 5.469)

7. Hui Yang, Wuritu Yang, Fu-Ying Dao, Hao Lv, Hui Ding*, Wei Chen*, Hao Lin*. (2020) A comparison and assessment of computational method for identifying recombination hotspots in Saccharomyces cerevisiae. Briefings in Bioinformatics, 21(5): 1568-1580. (2020 IF: 11.622)

6. Wei Chen*, Pengmian Feng, Xiaoming Song, Hao Lv, Hao Lin*. (2019) iRNA-m7G: identifying N7-methylguanosine sites by fusing multiple features. Molecular Therapy - Nucleic Acids, 18: 269-274. (2018 IF: 5.919)

5. Wei Chen*, Xiaoming Song, Hao Lv, Hao Lin*. (2019) iRNA-m2G: identifying N2-methylguanosine sites based on sequence derived information. Molecular Therapy - Nucleic Acids, 18: 253-258. (2018 IF: 5.919)

4. Zi-Mei Zhang, Jia-Shu Wang, Hasan Zulfiqar, Hao Lv, Fu-Ying Dao, Hao Lin*. (2020) Early Diagnosis of Pancreatic Ductal Adenocarcinoma by Combining Relative Expression Orderings with Machine Learning Method. Frontiers in Cell and Developmental Biology, 8: 582864. (2019 IF: 5.201)

3. Li Liu*, Qian-Zhong Li*, Wen Jin, Hao Lv, Hao Lin*. (2019) Revealing gene function and transcription relationship by reconstructing gene-level chromatin interaction. Computational and Structural Biotechnology Journal, 17: 195-205. (2018 IF: 4.72)

2. Jiu-Xin Tan, Fu-Ying Dao, Hao Lv, Peng-Mian Feng *, Hui Ding * (2018) Identifying Phage Virion Proteins by Using Two-Step Feature Selection Methods. Molecules, 23(8): 2000. (2017 IF: 3.098)

1. Pengmian Feng*, Zhaochun Xu, Hui Yang, Hao Lv, Hui Ding, Li Liu*. (2018) Identification of D-modification sites by integrating heterogeneous features in Saccharomyces cerevisiae. Molecules, 24(3). (2017 IF: 3.098)