人物簡介
章文:男，1981年生，博士，武漢大學計算機學院副教授，碩士生導師,武漢大學珞珈青年學者。
教育背景
2015.2-至今,University of Massachusetts Medical School, Visiting Scholar to Zlab.
2014.1-至今,武漢大學計算機學院，副教授，珞珈青年學者
2009年9月-2012年12月,武漢大學計算機學院，講師
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,武漢大學計算機學院, 博士研究生
2003年9月-2006年6月,武漢大學數學與統計學院, 碩士研究生
1999年9月-2003年6月, 武漢大學數學與統計學院, 本科
研究方向:數據挖掘，機器學習，生物信息，藥物信息學，社交網路。
論文
近年代表性論文:
1.WenZhang, FengLiu, LongqiangLuo, JingxiaZhang, Predicting drug side effects by multi-label learning and ensemble learning. BMC Bioinformatics. 2015, 16:365 (SCI, 影響因子:2.7)
2.WenZhang,HuaZou,LongqiangLuo,QianchaoLiu,WeijianWu,andWenyiXiao.Predictingpotentialsideeffectsofdrugsbyrecommendermethodsandensemblelearning.Neurocomputing,2015.(inpress,onlinefirst,SCI,影 響因子:2.01)
3.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 響因子:3.23)
4.Zou, Hua; Lin, Fu; Han, Jie; Zhang, Wen(通訊作者). 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 響因子:0.62)
5.謝倩倩,李訂芳,章文(通訊作者).基於集成學習的離子通道藥物靶點預測[J].計算機科學,2015,42(4):177-180
6.謝倩倩,李訂芳,章文(通訊作者).兩種基於樹結構的基因選擇算法.計算機科學,2015,42(7):250-253
7.Zhang,Wen;Ke,Meng.Proteinencoding:AMatlabtoolboxofrepresentingorencodingproteinsequencesasnumericalvectorsforbioinformatics.JournalofChemicalandPharmaceuticalResearch6 卷,pp2000-2007,2014/6/7(EI)
8. Wen Zhang, Yanqing Niu, Yi Xiong, Meng Ke. Prediction of conformational B cell epitopes(專 著邀請章節). “Immunoinformatics”, (Series Editor: John Walker), 2014. (專 著, Springer出版，第二版 ). Springer, pp 185-196, New York, 2014/6/27
9. Juan Liu, Wen Zhang. Databases for B cell epitopes(專著邀請章 節). An invited Chapter in the second edition of the book titled “Immunoinformatics”, under the series titled “Methods in Molecular Biology” (Series Editor: John Walker). (專 著, Springer出版，第二版) .Springer, pp 135-148, New York, 2014/6/27
10. 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 類會議)
11. 許逸格，張可，柯萌，謝倩倩，章文(通訊作者). 一種基於循環回歸的推薦算法. 華中科技大學學報, 第41卷，第S2期，195-198頁, 2013. (EI)
12. 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, 影響因子: 3.23)
13. 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,影響因子:0.429)
14. 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, 影響因子:2.33)
15. 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 響因子:3.23)
16. 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, 影響因子:2.7)
17. 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,影響因子:1.568)
18. 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, 影響因子:0.893)
19. 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,影響因子:1.516)
