Hao Lin Hui Ding Research Scientist Students Postdoc Visiting Scholars Alumni Position

Hui Yang Ph.D. candidate

Hui Yang 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.

E-mail: huiyang0325@163.com


Education and Training

2018-now Ph.D. candidate in Bioinformatics, University of Electronic Science and Technology, Sichuan, China

2016-2018 M.S in Bioinformatics, University of Electronic Science and Technology, Sichuan, China

2004-2008 B.S in Computer Science and Technology, University of Electronic Science and Technology, Sichuan, China


Published Papers

24. Jianglan Long&, Hui Yang,&, Zhirui Yang&, Qingquan Jia, Liwei Liu, Lingwei Kong, Huijing Cui, Suying Ding, Qian Qin, Nana Zhang, Xingzhong Feng, Shuxun Yan, Jinfa Tang, Shuo Chen, Yumei Han, Tao Jiang, Zhen Wen, Ningning Qi, Kejun Deng, Zhi Sun*, Hao Lin*, Dan Yan* (2021) Integrated biomarker profiling of the metabolome associated with impaired fasting glucose and type 2 diabetes mellitus in large-scale Chinese patients. Clinical and Translational Medicine, accepted. (2019 IF: 7.919)

23. Hui Yang, Yamei Luo, Xiaolei Ren, Ming Wu, Xiaolin He, Bowen Peng, Kejun Deng, Dan Yan, Hua Tang*, Hao Lin* (2021) Risk Prediction of Diabetes: Big data mining with fusion of multifarious physical examination indicators. Information Fusion, Accepted. (2019 IF: 13.669)

22. 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. (2019 IF: 8.990) (ESI, Hot)

21. 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, DOI: 10.1089/cmb.2018.0004. (2017 IF: 1.191)(ESI, Hot)

20. Hui Yang, Wang-Ren Qiu, Guoqing Liu, Feng-Biao Guo, Wei Chen*, Kuo-Chen Chou*, Hao Lin*. (2018) iRSpot-Pse6NC: Identifying recombination spots in Saccharomyces cerevisiae by incorporating hexamer composition into general PseKNC. International Journal of Biological Sciences, 14(8): 883-891. (2017 IF: 4.057)(ESI, Hot)

19. Zheng-Xing Guan, Shi-Hao Li, Zi-Mei Zhang, Dan Zhang, Hui Yang*, Hui Ding*. (2020) A Brief Survey for MicroRNA Precursor Identification using Machine Learning Methods. Current Genomics, 21(1): 11-25. (2019 IF: 2.63)

18. Wei Chen*, Hui Yang, Peng-Mian Feng, Hui Ding, Hao Lin*, (2017) iDNA4mC: identifying DNA N4-methylcytosine sites based on nucleotide chemical properties. Bioinformatics, 33(22): 3518-3523. (2016 IF: 7.307) (ESI, Hot)

17. Pengmian Feng, Hui Yang, Hui Ding, Hao Lin*, Wei Chen*, Kuo-Chen Chou*. (2019) iDNA6mA-PseKNC: Identifying DNA N6-methyladenosine sites sites by incorporating nucleotide physicochemical properties into PseKNC. Genomics, 111(1): 96-102. (2018 IF: 3.16) (ESI, Hot)

16. Pengmian Feng, Hui Ding, Hui Yang, Wei Chen*, Hao Lin*, and Kuo-Chen Chou*. (2017) iRNA-PseColl: Identifying the occurrence sites of different RNA modifications by incorporating collective effects of nucleotides into PseKNC. Molecular Therapy - Nucleic Acids, 7: 155–163. (2016 IF: 6.392) (ESI, Hot)

15. 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, DOI:10.1016/j.jmb.2021.166860. (2019 IF: 4.76)

14. Wei Su&, Fang Wang&, Jiu-Xin Tan, Fu-Ying Dao, Hui Yang, Hui Ding*. (2020) The prediction of human DNase I hypersensitive sites based on DNA sequence information. Chemometrics and Intelligent Laboratory Systems, doi: 10.1016/j.chemolab.2020.104223. (2019 IF: 2.895)

13. Hao Lv, Fu-Ying Dao, Zheng-Xing Guan, Hui Yang, Yan-Wen Li*, Hao Lin*. (2020) Deep-Kcr: accurate detection of lysine crotonylation sites using deep learning method. Briefings in Bioinformatics, Doi:10.1093/bib/bbaa255. (2019 IF: 8.990)

12. Dan Zhang&, Zhao-Chun Xu&, Wei Su, Yu-He Yang, Hao Lv, Hui Yang, Hao Lin*. (2020) iCarPS: a computational tool for identifying protein carbonylation sites by novel encoded features. Bioinformatics, DOI:10.1093/bioinformatics/btaa702. (2019 IF: 5.610)

11. Fu-Ying Dao, Hao Lv, Hasan Zulfiqar, Hui Yang, Wei Su, Hui Gao, Hui Ding, Hao Lin*. (2020) A computational platform to identify origins of replication sites in eukaryotes. Briefings in Bioinformatics, DOI: 10.1093/bib/bbaa017. (2019 IF: 8.990)

10. Hasan Zulfiqar, Muhammad Shareef Masoud,Hui Yang, Shu-Guang Han*, Cheng-Yan Wu*, Hao Lin* (2021) Screening of Prospective Plant Compounds as H1R and CL1R Inhibitors and its Anti-Allergic Efficacy through Molecular Docking approach. Computational and Mathematical Methods in Medicine, ID 6683407. (2019 IF: 1.770)

9. Guoqing Liu*, Hongyu Zhao, Hu Meng, Yongqiang Xing, Hui Yang, Hao Lin*. (2020) Deform-nu: a DNA deformation energy-based predictor for nucleosome positioning. Frontiers in Cell and Developmental Biology, 8: 596341. (2019 IF: 5.201)

8. Meng-Lu Liu, Wei Su, Jia-Shu Wang, Yu-He Yang, Hui Yang, Hao Lin*. (2020) Predicting preference of transcription factors for methylated DNA using sequence information. Molecular Therapy - Nucleic Acids, 22: 1043-1050. (2019 IF: 7.032)

7. Yu-He Yang, Chi Ma, Jia-Shu Wang, Hui Yang, Hui Ding*, Shu-Guang Han*, Yan-Wen Li*. (2020) Prediction of N7-methylguanosine sites in human RNA based on optimal sequence features. Genomics, 112: 4342–4347. (2019 IF: 6.205)

6. 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, 23(4): 100991. (2019 IF: 4.447) (ESI)

5. Zhao-Chun Xu, Peng-Mian Feng, Hui Yang, Wang-Ren Qiu, Wei Chen*, Hao Lin*. (2019) iRNAD: a computational tool for identifying D modification sites in RNA sequence. Bioinformatics, 35 (23), 4922-4929. (2018 IF: 4.531)

4. Jing-Hui Cheng, Hui Yang, Meng-Lu Liu, Wei Su, Peng-Mian Feng, Hui Ding*, Wei Chen*, Hao Lin*. (2018) Prediction of bacteriophage proteins located in the host cell using hybrid features. Chemometrics and Intelligent Laboratory Systems, 180: 64-69. (2017 IF: 2.701)

3. Wei Chen*, Pengmian Feng, Hui Yang, Hui Ding, Hao Lin*, Kuo-Chen Chou*. (2018) iRNA-3typeA: identifying 3-types of modification at RNA’s adenosine sites. Molecular Therapy - Nucleic Acids, 11: 468-474. (2017 IF: 5.660)

2. 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)

1. Wei Chen*, Pengmian Feng, Hui Yang, Hui Ding, Hao Lin*, Kuo-Chen Chou. (2017) iRNA-AI: identifying the adenosine to inosine editing sites in RNA sequences. Oncotarget, 8(3): 4208-4217. (2016 IF: 5.168)(ESI)