照片路径有误
  • 姓名:章文
  • 主页:http://www.bioinfotech.cn/
  • 性别:男
  • 职称:副教授
  • 学历学位:博士
  • 电话:
  • 办公地点:
  • E-mail:zhangwen@whu.edu.cn
  • 硕/博士生导师:硕士生导师
  • 研究兴趣
  • 教育背景
  • 工作经验
  • 教授课程
  • 发表论文
  • 研究课题
  • 研究团队
  • 获奖信息
  • 学术服务



研究方向:数据挖掘,机器学习,生物信息,药物信息学,社交网络

 



 


教育背景:

2015.2-至今, University of Massachusetts Medical School, Visiting Scholar to Zlab. 
2014.1-至今, 武汉大学计算机学院,副教授,珞珈青年学者
2009年9月-2012年12月, 武汉大学计算机学院,讲师
2007年9月-2008年8月,NUS, School of Computing, joint-training Ph.D. student
2006年9月-2009年6月, 武汉大学计算机学院, 博士研究生
2003年9月-2006年6月, 武汉大学数学与统计学院, 硕士研究生
1999年9月-2003年6月, 武汉大学数学与统计学院, 本科

章文:男,1981年生,博士,武汉大学计算机学院副教授,硕士生导师,武汉大学珞珈青年学者。



 

近年代表性论文:

1.Ruichu Cai, Zhenjie Zhang,Srinivasan Parthasarathy, Anthony K. H. Tung, Zhifeng Hao, Wen Zhang, Multi-Domain Manifold Learning for Drug-Target Interaction Prediction. SIAM International Conference on Data Mining (SDM16). accepted (CCF B)

2.Wen Zhang, Feng Liu, Longqiang Luo, Jingxia Zhang, Predicting drug side effects by multi-label learning and ensemble learning. BMC Bioinformatics. 2015, 16:365 (SCI, 影响因子:2.7)

3. Wen Zhang, Hua Zou, Longqiang Luo, Qianchao Liu, Weijian Wu, and Wenyi Xiao. Predicting potential side effects of drugs by recommender methods and ensemble learning. Neurocomputing, 2015. (in press, online first, SCI, 影 响因子:2.01)

4.Wen Zhang, Yanqing Niu, Hua Zou, Longqiang Luo, Qianchao Liu, Weijian Wu. Accurate prediction of immunogenic T-cell epitopes from epitope sequences using the genetic algorithm-based ensemble learning. PLoS One 2015 28;10(5):e0128194. Epub 2015 May 28. (SCI, 影 响因子:3.23)

5. Zou, Hua; Lin, Fu; Han, Jie; Zhang, Wen(通讯作者). GPU-Based Medical Visualization for Large Datasets, Journal of Medical Imaging and Health Informatics, Volume 5,Number 7, November 2015, pp. 1467-1473(7) (SCI, 影 响因子:0.62)

6. 谢倩倩,李订芳,章文(通讯作者).基于集成学习的离子通道药物靶点预测[J].计算机科学,2015,42(4):177-180

7. 谢倩倩,李订芳,章文(通讯作者).两种基于树结构的基因选择算法.计算机科学,2015,42(7):250-253


8. Zhang, Wen; Ke, Meng. Protein encoding: A Matlab toolbox of representing or encoding protein sequences as numerical vectors for bioinformatics. Journal of Chemical and Pharmaceutical Research 6 卷, pp 2000-2007, 2014/6/7 (EI)

9. Wen Zhang, Yanqing Niu, Yi Xiong, Meng Ke. Prediction of conformational B cell epitopes(专 著邀请章节). “Immunoinformatics”, (Series Editor: John Walker), 2014. (专 著, Springer出版,第二版 ). Springer, pp 185-196, New York, 2014/6/27

10. Juan Liu, Wen Zhang. Databases for B cell epitopes(专著邀请章 节). An invited Chapter in the second edition of the book titled “Immunoinformatics”, under the series titled “Methods in Molecular Biology” (Series Editor: John Walker). (专 著, Springer出版,第二版) .Springer, pp 135-148, New York, 2014/6/27

11. Wen Zhang, Juan Liu, Yi Xiong, Meng Ke, and Ke Zhang. Predicting immunogenic T- cell epitopes by combining various sequence- derived features. The IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2013). 18-21 Dec. 2013, Page(s):4-9, Shanghai, China, Dec 2013. (CCF B 类会议)  

12. 许逸格,张可,柯萌,谢倩倩,章文(通讯作者). 一种基于循环回归的推荐算法. 华中科技大学学报, 第41卷,第S2期,195-198页, 2013. (EI)

13. Wen Zhang, Yanqing Niu, Yi Xiong, Meng Zhao, Rongwei Yu, Juan Liu. Computational prediction of conformational B- cell epitopes from antigen primary structures by ensemble learning. PLOS One, 7(8): e43575,2012 年8月 (SCI, 影响因子: 3.23)

14. Wen Zhang, Juan Liu, Meng Zhao, Qingjiao Li. Predicting linear B- cell epitopes by using sequence- derived structural and physicochemical features. International Journal of Data Mining and Bioinformatics, 6 (5): 557-569, 2012 年9月 (SCI,影响因子:0.429)

15. Yi Xiong, Juan Liu, Wen Zhang, Tao Zeng. Prediction of heme binding residues from protein sequences with integrative sequence profiles. Proteome Science(Suppl 1): S20, 2012 年6月(SCI, 影响因子:2.33)

16. Yi Xiong, X Junfeng Xia, Wen Zhang, Juan Liu. Exploiting a reduced set of weighted average features to improve prediction of DNA- binding residues from 3D Structures. PLOS One, 6:e28440, 2011年11月(SCI, 影 响因子:3.23)

17. Wen Zhang, Yi Xiong, Meng Zhao, Hua Zou, Xinghuo Ye, Juan Liu. Prediction of conformational B- cell epitopes from 3D structures by random forest with a distance- based feature. BMC Bioinformatics, 12:341, 2011年8月(SCI, 影响因子:2.7)

18. Wen Zhang, Juan Liu, Yanqing Niu. Quantitative prediction of MHC- II binding affinity using particle swarm optimization. Artificial intelligence in medicine, 50(2): 127-132, 2010 年10月, (SCI,影响因子:1.568)

19. Wen Zhang, Juan Liu, Yanqing Niu. Quantitative prediction of MHC- II peptide binding affinity using relevance vector machine. Applied Intelligence,31(2): 180-187,2009 年9月, (SCI, 影响因子:0.893)

20. Wen Zhang, Juan Liu, Yanqing Niu,Wang Lian, Hu Xihao. A Bayesian regression approach to the prediction of MHC-II binding affinity. Computer Methods and Programs in Biomedicine, 92(1):1-7,2008 年6月, (SCI,影响因子:1.516)