基本信息
郭杏莉　副教授
计算机学院

联系方式
通信地址：太白南路2号西安电子科技大学 163信箱
电子邮箱：xlguo@mail.xidian.edu.cn
办公电话：暂无
办公地点：主楼4区 106A

新增栏目4


个人简介
郭杏莉，计算机学院，副教授


主要研究方向
图论及组合优化算法、数据挖掘算法的研究及其在生物信息学中的应用，非编码RNA的分析及功能预测

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基本信息
郭杏莉　副教授
计算机学院

联系方式
通信地址：太白南路2号西安电子科技大学 163信箱
电子邮箱：xlguo@mail.xidian.edu.cn
办公电话：暂无
办公地点：主楼4区 106A

新增栏目4


个人简介
郭杏莉，计算机学院，副教授


主要研究方向
图论及组合优化算法、数据挖掘算法的研究及其在生物信息学中的应用，非编码RNA的分析及功能预测

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科学研究
国家自然科学基金面上项目：长非编码RNA与复杂疾病关联异常模式挖掘方法研究
No. ** 2017~2020 项目负责人：郭杏莉

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学术论文
[1] Guo X, Gao L, Wang Y, et al. Advances in long noncoding RNAs: identification, structure prediction and function annotation[J]. Briefings in functional genomics, 2016, 15(1): 38.
[2] Xingli Guo, Lin. Gao, Qi Liao, Hui Xiao, Xiaoke Ma, Xiaofei Yang, Haitao Luo, Guoguang Zhao, Dechao Bu, Fei Jiao, Qixiang Shao, RunSheng Chen and Yi Zhao. (2013). Long non-coding RNAs function annotation: a global prediction method based on bi-colored networks. Nucleic acids research 41(2): e35-e35.
[3] Xingli Guo, Lin Gao, Chunshui Wei, Xiaofei Yang, Yi Zhao, Anguo Dong. (2011) A Computational Method Based on the Integration of Heterogeneous Networks for Predicting Disease-Gene Associations. PLoS ONE 6(9): e24171.
[4] 郭杏莉, 高琳, 刘永轩, 党合萱, 王羽, 杨晓飞, 罗海涛. (2013). 长非编码RNA生物特征研究与分析，科学通报，58(27):2779 ~ 2786
[5] 郭杏莉 高琳 陈新. ( 2010). 生物网络比对的模型与算法 软件学报, 21(9): 2089-2106
[6] Yang, X., Gao, L., Guo, Xingli, Shi, X., Wu, H., Song, F. and Wang, B. (2014) A Network Based Method for Analysis of lncRNA-Disease Associations and Prediction of lncRNAs Implicated in Diseases. PloS ONE, 1(9), e87797.
[7] Deng Y, Gao L, Wang B, Guo Xingli. HPOSim: An R Package for Phenotypic Similarity Measure and Enrichment Analysis Based on the Human Phenotype Ontology[J]. PloS ONE, 2015, 10(2).
[8] Wang B, Gao L, Zhang Q, Li A, Deng Y, Guo Xingli. Diversified Control Paths: A Significant Way Disease Genes Perturb the Human Regulatory Network[J]. PloS one, 2015, 10(8): e**.

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荣誉获奖
[1] 郭杏莉 基于网络模型的基因相关预测问题算法研究 2015西安电子科技大学优秀博士学位论文
[2] 郭杏莉 基于网络模型的基因相关预测问题算法研究 2015 陕西省优秀博士学位论文
[3] 高琳 马小科 王炳波 郭杏莉 孙鹏岗 生物网络数据挖掘理论方法及应用研究
2015年度中国电子学会自然科学类二等奖
[4] 高琳 郭杏莉 孙鹏岗 鱼亮 王炳波 马小科 覃桂敏 邓岳 王玙，生物网络数据分析与挖掘中相关理论与关键技术，2014年西安电子科技大学优秀科研成果奖 一等奖
[5] 高琳 张军英 覃桂敏 鱼亮 郭杏莉 ， 生物分子网络数据分析中相关图问题及其算法研究, 2010年西安电子科技大学优秀科研成果奖 一等奖

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科研团队
教师团队：
郭杏莉 副教授 硕导
博士研究生
无
硕士研究生
孙宇彤 2017级
任 阳 2017级

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课程教学
本科教学
《数据仓库与数据挖掘》
研究生教学
《复杂网络基础与应用》
《生物信息学导论》

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招生要求
本课题组从事数据挖掘算法的理论和应用研究，开展生物大数据的分析和建模，进行非编码基因与复杂疾病的关联模式研究，预测非编码分子标记物，服务个性化医疗
要求：
有很强的数学基础，英语阅读和写作能力
有很强的编程基础，要求掌握至少一门高级语言（例如 C++， Java），掌握脚本语言编程和linux shell编程
对生物问题和数据分析有浓厚兴趣
善于沟通交流，有很好的团队合作精神
有很强的主动学习能力

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Profile




Xingli Guo Ph.D.
Associate Professor
School of Computer Science and Technology
XIDIAN UNIVERSITY

Contact Information
Address: Mail Box 163, No.2 South Taibai Road, Xi'an Shaaanxi, P. R. China
Email: xlguo@mail.xidian.edu.cn
Tel: **


Introduction
Ph.D. Xingli Guo
Associate Professor, School of Computer Science and Technology, XIDIAN UNIVERSITY
Focus on data mining algorithms and bioinformatics


Research Interests
My current interest is on noncoding RNAs, focusing on developing advanced computational bioinformatics tools for the association study between noncoding RNAs and complex diseases, including investigation the properties of noncoding RNAs (e.g. long noncoding RNAs), their biological functions and their involved roles in cancers. Systematical and integration methods are employed to answer various biological and medical questions such as for disease gene prediction, biomarker and drug-target discovery, disease mechanism, personalized medicine and meanwhile provide Bioinformatics and data analysis support for other investigators.
1．Theories and application of data ming algorithms for biological problems
2．Computational methods for function investigation of long noncoding RNAs
3. Assocication study between ncRNAs and cancers
4．ncRNA biomarker prediction

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Research
NSFC ：Methods for Mining lncRNA Abnormal Patterns in Complex Disease
No. ** 2017~2020 PI：Xingli Guo

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Papers
[1] Guo X, Gao L, Wang Y, et al. Advances in long noncoding RNAs: identification, structure prediction and function annotation[J]. Briefings in functional genomics, 2016, 15(1): 38.
[2] Xingli Guo, Lin. Gao, Qi Liao, Hui Xiao, Xiaoke Ma, Xiaofei Yang, Haitao Luo, Guoguang Zhao, Dechao Bu, Fei Jiao, Qixiang Shao, RunSheng Chen and Yi Zhao. (2013). Long non-coding RNAs function annotation: a global prediction method based on bi-colored networks. Nucleic Acids Research 41(2): e35-e35.
[3] Xingli Guo, Lin Gao, Chunshui Wei, Xiaofei Yang, Yi Zhao, Anguo Dong. (2011) A Computational Method Based on the Integration of Heterogeneous Networks for Predicting Disease-Gene Associations. PLoS ONE 6(9): e24171.
[4] Guo X L, Gao L, Liu Y X, et al. Long non-coding RNAs: Insights into the biological property (in Chinese). Chin Sci Bull (Chin Ver), 2013, 58:2779–2786,
[5] GUO Xing-Li, GAO Lin, CHEN Xin, Models and Algorithms for Alignment of Biological Networks. Journal of Software, Vol.21, No.9, September 2010, pp.2089?2106
[6] Yang, X., Gao, L., Guo, Xingli, Shi, X., Wu, H., Song, F. and Wang, B. (2014) A Network Based Method for Analysis of lncRNA-Disease Associations and Prediction of lncRNAs Implicated in Diseases. PloS ONE, 9(1), e87797.
[7] Deng Y, Gao L, Wang B, Guo Xingli. HPOSim: An R Package for Phenotypic Similarity Measure and Enrichment Analysis Based on the Human Phenotype Ontology[J]. PloS ONE, 2015, 10(2).
[8] Wang B, Gao L, Zhang Q, Li A, Deng Y, Guo Xingli. Diversified Control Paths: A Significant Way Disease Genes Perturb the Human Regulatory Network[J]. PloS one, 2015, 10(8): e**.

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Honors
【1】高琳郭杏莉孙鹏岗鱼亮王炳波马小科覃桂敏邓岳王玙，生物网络数据分析与挖掘中相关理论与关键技术，2014年西安电子科技大学优秀科研成果奖 一等奖
【2】高琳张军英覃桂敏鱼亮郭杏莉, 生物分子网络数据分析中相关图问题及其算法研究, 2010年西安电子科技大学优秀科研成果奖 一等奖
【3】郭杏莉基于网络模型的基因相关预测问题算法研究2015西安电子科技大学优秀博士学位论文
【4】郭杏莉基于网络模型的基因相关预测问题算法研究2015 陕西省优秀博士学位论文
【5】高琳马小科王炳波郭杏莉孙鹏岗 生物网络数据挖掘理论方法及应用研究 2015年度中国电子学会自然科学类二等奖
2015年12月中国电子学会科学技术奖自然科学类二等奖KJ2015-Z2-03-R04

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Team
P.I. Ph.D Xingli Guo Associate Professor
Graduate Student
Yutong Sun 2017
Yang Ren 2017

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Teaching
For undergraduate students:
Data mining
For graduate students:
Elements of complex networks and application
Introduction to bioinformatics

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Admission
We have openings for motivated students with strong mathematics, statistics and computer science. Details can be found in the website of Xidian University. Interested undergraduate students are also welcome to contact us for sending graduate students message.