Yan Xu

Professor
office location: physical and chemical building 208
E-mail:xuyan@ustb.edu.cn
Research Interests:1. Bioinformatics; 2. Deep learning; 3. Machine learning; 4.Signal processing
Resume

2019.06-present: Professor, Department of Information and Computer Science, University of Science and Technology Beijing (USTB), Beijing 100083, China; 2014. 06-2019. 06: Associate professor, Department of Information and Computer Science, University of Science and Technology Beijing (USTB), Beijing 100083, China; 2005.06-2014.06: Lecturer, Department of Information and Computer Science, University of Science and Technology Beijing (USTB), Beijing 100083, China 2008.09-2012.06: PhD, Department of Mathematics, China Agricultural University, China;

Scientific research achievements

1. 2021.1-2024.12 The Deep Feature Learning and Prediction of Post Translational Modification based on Deep Learning (No. 12071024), National Natural Science Foundation of China, Presider 2. 2020.7-2023.6 The Prediction of non-public economy main identification based on machine learning (No. 2020AAA0105103), The Ministry of Science and Technology of China 3. 2017.1-2020.12 The Prediction of Post Translational Modification in Proteins based on Multi-label Learning (No. 11671032), National Natural Science Foundation of China, Presider 4. 2014.1-2016.12 Research of the Prediction of Post Translational Modification in Proteins based on Machine Learning (No. 11301024), National Natural Science Foundation of China, Presider 5. 2015.10-2016.10 Research of Post Translational Modification Sites Incorporating into Multi-label Learning (No. FRF-BR-15-075A), Fundamental Research Funds for the Central Universities, Presider 6. 2012.1-2014.12 Optimization Methods and Applications in Multi-instance and Multi-label Learning (No. 10971223), National Natural Science Foundation of China, Participant

Enrollment plan

1 PhD student and 2 Master students per year

Representative papers

1. Yingxi Yang, Hui Wang, Wen Li, Xiaobo Wang, Shizhao Wei, Yulong Liu, Yan Xu*. Prediction and analysis of multiple protein lysine modified sites based on conditional wasserstein generative adversarial networks. BMC Bioinformatics. 2021.April, Vol.22:171. 2. Jiansheng Zhang, Hongli Fu, Yan Xu*. Human Age prediction of human based on DNA methylation by blood tissues. Genes. 2021.June 6. Vol.12. 870. 3. Meiqi Wu, Yingxi Yang, Hui Wang, Jun Ding, Huan Zhu, Yan Xu*. IMPMD: an integrated method for predicting potential associations between miRNAs and diseases. Current Genomics. 2019.11.8 Vol.20, No.8. 581-591. 4. Yan Xu, Xingyan Li, Yingxi Yang, Chunhui Li*, Xiaojian Shao. Human age prediction based on DNA methylation of non-blood tissues. Computer Methods and Programs in Biomedicine. 2019. April. Vol.171: 11-18. 5. Hongli Fu, Yingxi Yang, Hui Wang, Yan Xu*. DeepUbi:a deep learning framework for prediction of ubiquitination sites in proteins. BMC Bioinformatics. 2019, Feb.18. Vol.20(1):86. 6. Yan Xu, Yingxi Yang, Jun Ding, Chunhui Li*. iGlu-Lys: A Predictor for Lysine Glutarylation through Amino Acid Pair Order Features. IEEE Transactions on NanoBioscience. 2018, Oct. Vol.17(4):394-401. 7. Yingxi Yang, Hui Wang, Jun Ding, Yan Xu*. iAcet-Sumo: identification of lysine acetylation and sumoylation sites in proteins by multi-class transformation methods. Computers in Biology and Medicine. 2018, Sep.1 Vol.100:144-151. 8. Li-Ming Liu, Yan Xu*, Kuo-Chen Chou. iPGK-PseAAC: identify lysine phosphoglycerylation sites in proteins by incorporating four different tiers of amino acid pairwise coupling information into the general PseAAC. Medicinal Chemistry. 2017, May.Vol 13(6), 552-559. 9. Yan Xu*, Jun Ding, Ling-Yun Wu. iSulf-Cys: prediction of S-sulfenylation sites in proteins with physicochemical properties of amino acids. PloS One. 2016.11(4): e0154237. 10. Yan Xu*, Ya-Xin Ding, Jun Ding, Ling-Yun Wu, Nai-Yang Deng. Phogly-PseAAC: prediction of lysine phosphoglycerylation in proteins incorporating with position-specific propensity. Journal of Theoretical Biology. 2015.08.21, (379)10-15. 11. Yan Xu*, Xiao-Bo Wang, Yong-Cui Wang, Ying-Jie Tian, Xiao-Jian Shao, Ling-Yun Wu, Nai-Yang Deng. Prediction of Posttranslational Modification Sites from Sequences with Kernel Methods. Journal of Theoretical Biology. 2014. March 7. 7:344, 78-87. 12. Yan Xu, Xiao-Bo Wang, Jun Ding, Ling-Yun Wu, Nai-Yang Deng*. Lysine acetylation sites prediction using an ensemble of support vector machine classifers. Journal of Theoretical Biology. 2010, vol. 264,130-135.

Postgraduate training

  • School of Chemistry and Biological Engineering, USTB
  • 30 Xueyuan Road, Haidian District, Beijing,100083