个人简介

教育经历 2008.09~2012.07 中国农业大学理学院博士 2001.09~2003.07 吉林大学数学所硕士 1997.09~2001.07 吉林大学数学系本科 工作经历 2003.07-至今 北京科技大学数学系 2016.03-2017.03 美国加州大学洛杉矶分校访问 2018.07-2019.08 美国蒙特克莱尔州立大学统计系访问 2019.07-2019.07 英国邓迪大学数学系访问

研究领域

生物信息学、深度学习、蛋白质翻译后修饰、机器学习

主持或参与的项目： 1. 2019.10-2020.06 基于机器学习的****软件 某研究所 负责人 2. 2017.01-2020.12 基于多标签学习的蛋白质翻译后修饰位点预测 国家自然科学基金面上项目 负责人 项目编号: 11671032 3. 2018.01-2018.12 深度学习前言与应用 引智项目，负责人 项目编号：C2018033 4. 2017.12-2018.11 多示例多标签学习在蛋白质组学中的研究与应用，基础科研业务费 负责人 项目编号： FRF-TP-17-024A2 5. 2016.01-2016.12 整合成多标签学习问题的蛋白质修饰研究，基础科研业务费 负责人 项目编号: FRF-BR-15-075A 6. 2014.01-2016.12 基于机器学习的蛋白质翻译后修饰位点预测的研究 国家自然科学青年基金 负责人 项目编号:11301024 7. 2017.01-2017.12 计算生物学的若干问题研究，引智项目，负责人 项目编号：C2017021 8. 2012.01-2014.12 微分算子环上的机械化算法与应用研究 国家自然科学青年基金 参与者 项目编号:11101029

近期论文

查看导师新发文章 （温馨提示：请注意重名现象，建议点开原文通过作者单位确认）

科研文章： 1. Yuan-Hai Shao, Chun-Na Li, Ling-Wei Huang, Zhen Wang, Nai-Yang Deng, Yan Xu*. Joint sample and feature selection via sparse primal and dual LSSVM.Knowledge-Based System. 2019. December. Vol.185:104915 2. Chun-NaLi，Meng-QiShang, Yuan-HaiShao，YanXu*，Li-MingLiu，ZhenWang. Sparse L1-norm two dimensional linear discriminant analysis via the generalized elastic net regularization. Neurocomputing. 2019.April.14.Vol.337: 80-96. 3. 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. 4. Yan Xu, Yingxi Yang, Zu Wang, Yuanhai Shao*.Prediction of Acetylation and Succinylation in Proteins based on Multi-label Learning RankSVM. Letters in Organic Chemistry. 2019, March. Vol. 16(4): 275-282. 5. Hongli Fu, Yingxi Yang, Hui Wang, Yan Xu*. DeepUbi：adeep learning framework for prediction of ubiquitination sites in proteins. BMC Bioinformatics. 2019, Feb.18. Vol.20(1):86. 6. Yan Xu, Yingxi Yang, Hui Wang, Yuanhai Shao*. Lysine Malonylation Identification in E.coli withMultiple Features. Current Proteomics. 2019. Feb.Vol.16(3).166-174. 7. Meiqi Wu, Yingxi Yang, Hui Wang, Yan Xu*.A deep learning method to more accurately recall known lysine acetylation sites.BMC Bioinformatics. 2019, Jan. 23. Vol.20(1):49. 8. Yan Xu, Yingxi Yang, Zu Wang, Chunhui Li, Yuanhai Shao*. A systematic review on posttranslational modification in proteins: feature construction, algorithm and webserver. Protein and Peptide Letters. 2018, Dec.Vol. 25(9): 807-814. 9. 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. 10. Xingyan Li，Weidong Li, Yan Xu*. Human Age Prediction Based on DNA Methylation Using a Gradient Boosting Regressor. Genes, 2018, (August. 21) Vol. 9. 424. 11. 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, July. Vol.100:144-151. 12. Yan Xu, Zu Wang, Chunhui Li*, Kuo-Chen Chou. iPreny-PseAAC: Identify C-terminal Cysteine Prenylation Sites in Proteins by Incorporating Two Tiers of Sequence Couplings into PseAAC.Medicinal Chemistry. 2017, May.Vol.13(6),544-551. 13. 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. 14. Yan Xu, Li Li, Jun Ding, Ling-Yun Wu,Guoqin Mai*, Fengfeng Zhou*. Gly-PseAAC: identifying protein lysine glycationthrough sequences. Gene. 2017 Feb.20.602:1-7. 15. Yan Xu, Ya-Xin Ding, Jun Ding, Ling-Yun Wu, Yu Xue*. Mal-Lys: prediction of lysine malonylationsites in proteins integrated sequence-based features with mRMR feature selection. Scientific Reports. 2016.12.02, Vol6.38318. 16. 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. 2016. April. 17. Yan Xu*, Kuo-Chen Chou. Recent progress in predicting posttranslational modification sites in proteins. Current Topics in Medicinal Chemistry. 2016.16(6),591-603. 18. Yan Xu, Ya-Xin Ding, Nai-Yang Deng, Li-Ming Liu*. Prediction of Sumoylation Sites in Proteins Using Linear Discriminant Analysis. Gene. 2016. Jan.15576:99-104. 19. 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. 20. Yan Xu*, Ya-Xin Ding, Jun Ding, Ya-Hui Lei, Nai-Yang Deng. iSuc-PseAAC: predicting lysine succinylation in proteins by incorporating peptide position-specific propensity.Scientific Reports. 2015.06.18.Vol5.10184. 21. Yan Xu*, Xin Wen, Li-Shu Wen, Ling-Yun Wu, Nai-Yang Deng, Kuo-Chen Chou. iNitro-Tyr: Prediction of nitrotyrosine sites in proteins with general pseudo amino acid composition. PLoS ONE 9(8),e105018. 22. Yan Xu*, Xin Wen, Xiao-Jian Shao, Nai-Yang Deng, Kuo-Chen Chou. iHyd-PseAAC: predicting hydroxyproline and hydroxylysine in proteins by incorporating dipeptide position-specific propensity into pseudo amino acid composition. International Journal of Molecular Sciences. 2014, May, 5. 15:7594-7610. 23. 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. 24. Yan Xu*, Xiao-Jian Shao, Ling-Yun Wu, Nai-Yang Deng, Kuo-Chen Chou. iSNO-AAPair: incorporating amino acid pairwise coupling into PseAAC for predicting cysteine S-nitrosylation sites in proteins.PeerJ. 2013 Oct 3. 1:e171. 25. Yan Xu*, Jun Ding, Ling-Yun Wu, Kuo-Chen Chou. iSNO-PseAAC: Predict Cysteine S-nitrosylation Sites in Proteins by Incorporating Position Specific Amino Acid Propensity into Pseudo Amino Acid Composition, PLoS One, 8(2), e55844, 2013.Feb. 26. Yan Xu*, Jun Ding, Qiang Huang, Nai-Yang Deng. Prediction of Protein Methylation Sites using Conditional Random Field.Protein and Peptide Letters, 2013, 20(1), 71-77.

学术兼职

中国运筹学会青年工作委员会副秘书长 中国运筹学会数学规划分会副秘书长 中国运筹学会计算生物学分会理事 北京运筹学会理事