师资队伍

张晓飞

英文版 (English Version)

学习经历:

  1. 2008.9 - 2013.6,中山大学,应用数学,博士,导师:戴道清教授

  2. 2004.9 - 2008.6,华中师范大学,信息与计算科学,本科

 

工作经历:

 2017.7 - 至今,华中师范大学数学与统计学学院,副教授

 2016.1 - 2017.1,香港城市大学,高级研究助理,合作导师:严洪教授(IEEE Fellow,IAPR Fellow)

 2013.7 - 2017.6,华中师范大学数学与统计学学院,讲师

 2013.1 - 2013.7,香港城市大学,研究助理,合作导师:严洪教授(IEEE Fellow,IAPR Fellow)

 

获奖情况:

  1. 2012 - 2013年 研究生国家奖学金(金额三万元)

研究方向数据挖掘机器学习生物信息计算


研究内容:基于机器学习方法的生物医学大数据挖掘

       学习方法及理论方面:图模型、结构化稀疏学习、异构数据融合模型、聚类分析

       应用方面:精准医学、泛癌症组学数据挖掘、单细胞组学数据分析


研究生招生:

   招生专业:应用统计、数理统计

   其他要求:

    a) 数学分析,线性代数,数值分析,概率论与数理统计,多元统计,统计推断,最优化等课程基础扎实。

    b) 至少精通两门程序语言:R, Matlab, Python, C++, Java。

    c) 英语的听、说、读、写能力强,需要较强的科研论文阅读与写作能力,一般要求英语六级500分以上。

    d) 对研究方向感兴趣、对科学研究有热情、不怕吃苦、不怕失败、做事认真负责。混学位者的请勿联系

  

 

承担项目:

6. 国家自然科学基金面上项目,11871026,基于稀疏概率图模型的多癌症多组学生物网络构建方法研究,2019/01-2021/12,53万元

5. 湖北省自然科学基金面上项目,2018CFB521,跨癌症类型的肿瘤网络标志物识别算法研究,2018年1月 -2019年12月,5万元

4. 中央高校基本科研业务费-探索创新项目,跨癌症类型的差异表达因子识别算法研究,2018年1月-2019年12月,10万元

3. 国家自然科学基金青年科学基金项目,61402190,基于多视角蛋白质相互作用网络的多层次生物标志物检测,2015/01-2017/12,24万元,已结题

2. 中央高校基本科研业务费-青年教师项目,基于随机图模型的蛋白质功能模块探测研究,2015年1月-2016年12月,4万元,已结题

1. 中山大学博士研究生创新人才培养资助项目,基于图模型的蛋白质相互作用网络的结构及功能研究,2012/9 - 2013/6,经费2万元,已结题  


参与项目:

5. 2018.01 - 2020.12 基于临床生物信息学研发慢性阻塞性肺病的个体化治疗靶标和新技术, 国家重点研发计划“精准医学研究”重点专项,SQ2017YFSF090207,经费948万元 

4. 2016.01 - 2020.12 高通量微生物组学数据模式提取及分析,国家自然科学基金-重点项目,61532008,经费290万元
3. 2014.01 – 2017.12 基于蛋白质相互作用网络的复杂疾病分子机理研究61375033, 面上项目,经费79万元
2. 2013.10 – 2016.10 广东省重点项目,经费32万元
1. 2013.01 – 2015.12 基于稀疏随机图模型的蛋白质相互作用网络分析,教育部高等学校博士点科研基金项目20120171110016,经费12万元

专利情况:
2.一种基于学生t分布的癌症亚型生物标志物检测系统, 发明/设计人:吴梦云;戴道清;张晓飞;朱媛,申请号:CN201310190673.3, 公开号:CN103268431A,公开/公告日:20130828
1. 蛋白质复合体挖掘的加权组装聚类方法, 发明/设计人:欧阳乐;戴道清;张晓飞,申请号:CN201310104854.X, 公开号:CN103235900A,公开/公告日:20130807


期刊论文:  

论文中涉及算法源程序可从以下网址下载:https://github.com/Zhangxf-ccnu


第一作者论文(共同第一作者#) 累计影响因子:45

[13] Xiao-Fei Zhang, Le Ou-Yang, Shuo Yang, Xiaohua Hu, Hong Yan, DiffGraph: An R package for identifying gene network rewiring using differential graphical models, Bioinformatics, 2018,34(9): 1571-1573. (2016 IF: 7.307, Rank: 2/57, Q1)

[12] Xiao-Fei Zhang, Le Ou-Yang, Hong Yan, Incorporating prior information into differential network analysis using non-paranormal graphical models, Bioinformatics, 2017, 33(16): 2436–2445. (2016 IF: 7.307, Rank: 2/57, Q1)

[11] Xiao-Fei Zhang, Le Ou-Yang, Hong Yan, Node-based differential network analysis in genomics, Computational Biology and Chemistry, 2017, 69: 194-201. (2015 IF: 1.014, Rank: 59/86, Q3)

[10] Xiao-Fei Zhang, Le Ou-Yang, Xing-Ming Zhao, Hong Yan, Differential network analysis from cross-platform gene expression data, Scientific Reports, 2016.9.28, 6: 34112. (2015 IF: 5.228, Rank: 7/63, Q1)

[9] Le Ou-Yang, Xiao-Fei Zhang#, Dao-Qing Dai, Meng-Yun Wu, Yuan Zhu, Zhiyong Liu, Hong Yan, Protein complex detection based on partially shared multi-view clustering, BMC Bioinformatics, 2016.9.13, 17:371. (2015 IF: 2.435, Rank: 10/56, Q1)

[8] Xiao-Fei Zhang, Le Ou-Yang, Dao-Qing Dai, Meng-Yun Wu, Yuan Zhu, Hong Yan, Comparative analysis of housekeeping and tissue-specific driver nodes in human protein interaction networks, BMC Bioinformatics, 2016.9.9, 17:358. (2015 IF: 2.435, Rank: 10/56, Q1)

[7] Meng-Yun Wu, Xiao-Fei Zhang#, Dao-Qing Dai, Le Ou-Yang, Yuan Zhu, Hong Yan, Regularized logistic regression with network-based pairwise interaction for biomarker identification in breast cancer, BMC Bioinformatics, 2016.2.27, 17:108.  (2015 IF: 2.435, Rank: 10/56, Q1)

[6] Xiao-Fei Zhang, Le Ou-Yang, Xiaohua Hu, Dao-Qing Dai, Identifying binary protein-protein interactions from affinity purification mass spectrometry data, BMC Genomics, 2015.10.5, 16: 745. (2014 IF: 3.986, Rank: 26/163, Q1)

[5] Xiao-Fei Zhang, Le Ou-Yang, Yuan Zhu, Meng-Yun Wu, Dao-Qing Dai, Determining minimum set of driver nodes in protein-protein interaction networks, BMC Bioinformatics, 2015.5.7, 16: 146. (2014 IF: 2.576, Rank: 11/57, Q1)

[4] Xiao-Fei Zhang, Dao-Qing Dai, Le Ou-Yang, Hong Yan, Detecting overlapping protein complexes based on a generative model with functional and topological properties, BMC Bioinformatics, 2014.6.13, 15: 186. (2013 IF: 2.672, Rank: 8/52, Q1)

[3] Xiao-Fei Zhang, Dao-Qing Dai, Le Ou-Yang, Meng-Yun Wu, Exploring overlapping functional units with various structure in protein interaction networks, PLos One, 2012.8.20, 7(8): e43092. (2011 IF: 4.092, Rank: 12/85, Q1)

[2] Xiao-Fei Zhang, Dao-Qing Dai, Xiao-Xin Li, Protein complexes discovery based on protein-protein interaction data via a regularized sparse generative network model, IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2012.6.01, 9(3): 857~870. (2011 IF: 1.543, Rank: 24/116, Q1)

[1] Xiao-Fei Zhang, Dao-Qing Dai, A framework for incorporating functional interrelationships into protein function prediction algorithms, IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2012.6.01, 9(3): 740~753. (2011 IF: 1.543, Rank: 24/116, Q1)


通讯作者论文* 累计影响因子:22

[6] Le Ou-Yang, Xiao-Fei Zhang*, Xing-Ming Zhao, Debby D Wang, Fu Lee Wang, Baiying Lei, Hong Yan, Joint Learning of Multiple Differential Networks With Latent Variables, IEEE transactions on cybernetics, 2018, DOI: 10.1109/TCYB.2018.2845838. (2017 IF: 8.803, Rank: 1/61, Q1).

[5] Jia-Juan Tu (硕士研究生), Le Ou-Yang, Xiaohua Hu, Xiao-Fei Zhang*, Identifying gene network rewiring by combining gene expression and gene mutation data , IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2018, DOI: 10.1109/TCBB.2018.2834529. (2017 IF: 2.296, Rank: 12/123, Q1).

[4] Ting Xu (硕士研究生), Le Ou-Yang, Xiaohua Hu, Xiao-Fei Zhang*, Identifying gene network rewiring by integrating gene expression and gene network data, IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2018, DOI: 10.1109/TCBB.2018.2809603. (2017 IF: 2.296, Rank: 12/123, Q1)

[3] Le Ou-Yang, Hong Yan, Xiao-Fei Zhang*, A multi-network clustering method for detecting protein complexes from multiple heterogeneous networks, BMC Bioinformatics, 2017, 8(Suppl 13):46. (2015 IF: 2.435, Rank: 10/56, Q1)

[2] Le Ou-Yang, Xiao-Fei Zhang*, Min Wu, Xiao-Li Li, Node-based learning of differential networks from multi-platform gene expression data, Methods, 2017, 129:41-49. (2015 IF:3.503, Rank:16/77, Q1)

[1] Le Ou-Yang, Hong Yan, Xiao-Fei Zhang*, Identifying differential networks based on multi-platform gene expression data, Molecular Biosystems, 2017.01.01, 13(1):183~192. (2015 IF: 2.829, Rank: 135/289, Q2)


既非一作者又非通讯作者论文 (累计影响因子:20

[8] Le Ou-Yang, Min Wu, Xiao-Fei Zhang, Dao-Qing Dai, Xiao-Li Li, Hong Yan, A two-layer integration framework for protein complex detection, BMC Bioinformatics, 2016.2.24, 17:100. (2015 IF: 2.435, Rank: 10/56, Q1)

[7] Le Ou-Yang, Dao-Qing Dai, Xiao-Fei Zhang, Detecting protein complexes from signed protein-protein interaction networks, IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2015.12.04, 12(6):1333~1344. (2014 IF: 1.438, Rank: 30/122, Q1)

[6] Le Ou-Yang, Dao-Qing Dai, Xiao-Li Li, Min Wu, Xiao-Fei Zhang, Peng Yang, Detecting temporal protein complexes from dynamic protein-protein interaction networks, BMC Bioinformatics, 2014.10.4, 15:335. (2013 IF: 2.672, Rank: 8/52, Q1)

[5] Meng-Yun Wu, Dao-Qing Dai, Xiao-Fei Zhang, Yuan Zhu, Cancer subtype discovery and biomarker identification via a new robust network clustering algorithm, PLos One, 2013.6.17, 8(6):e66256. (2012 IF: 3.730, Rank: 7/56, Q1)

[4] Le Ou-Yang, Dao-Qing Dai, Xiao-Fei Zhang, Protein complex detection via weighted ensemble custering based on Bayesian nonnegative matrix factorization, PLos One, 2013.5.2, 8(5):e62158. (2012 IF: 3.730, Rank: 7/56, Q1)

[3] Xiao-Xin Li, Dao-Qing Dai, Xiao-Fei Zhang, Chuan-Xian Ren, Structured sparse error coding for face recognition with occlusion, IEEE Transactions on Image Processing, 2013.5.01, 22(5):1889~1900. (2012 IF: 3.189, Rank:17/243 , Q1)

[2] Yuan Zhu, Xiao-Fei Zhang, Dao-Qing Dai, Meng-Yun Wu, Identifying spurious interactions and predicting missing interactions in the protein-protein interaction networks via a generative network model, IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2013.2.01, 10(1):219~225. (2012 IF: 1.616, Rank: 21/117, Q1)

[1] Meng-Yun Wu, Dao-Qing Dai, Yu Shi, Hong Yan, Xiao-Fei Zhang, Biomarker identification and cancer classification based on microarray data using laplace naive Bayes model with mean shrinkage, IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2012.12.01, 9(6):1649~1662. (2011 IF: 1.543, Rank: 24/116, Q1)

办公地址:华中师范大学数学与统计学学院 科学会堂附楼110室
通讯地址:武汉市华中师范大学数学与统计学学院,430079
         School of Mathematics and Statistics, Central China Normal University
         Wuhan, 430079, P.R. china
Email:
zhangxf@mail.ccnu.edu.cn
Google Profile: http://scholar.google.com.hk/citations?user=mGTGvmUAAAAJ&hl=en  

     (最后更新日期:2018-09-14)

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