array(1) { ["lab"]=> string(3) "679" } 机器学习与生物医学大数据实验室 | 成员 | 山东大学(威海) | LabXing

机器学习与生物医学大数据实验室

简介 通过综合利用数据科学,计算机科学和信息技术揭示大量而复杂的生物数据所赋有的生物学奥秘。

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张玉森
负责人

张玉森

负责人


Yusen Zhang received the PhD degree in computational mathematics from Dalian University of Technology, China, in 2003. He is a professor in School of mathematics and statistics from the Shandong University at Weihai, China. During 2004-2006, He was a postdoctoral fellow in Bioinformatics and Computer Applications at Graduate University of Chinese Academy of Science. His research is in the algorithms in computational biology, bioinformatics and statistical genetics. 联系方式: Affiliation: School of Mathematics and Statistics, Shandong University at Weihai. Address: 180 wenhua xilu,Weihai, P.R.China 264209 Postcode: 264209 Fax: 86-631-5688523 Email: zhangys@sdu.edu.cn, yusenzhang@126.com 学术经历: Jan.2008- Professor of School of Mathematics and Statistics, Shandong University at Weihai, China. Sep.2002-Dec.2007 Associate professor of School of Mathematics and Statistics, Shandong University at Weihai, China. Mar.2004-Mar.2006 Post doctorate of Bioinformatics and Computer Applications, Graduate University of Chinese Academy of Science. 主持或参加科研项目(课题)及人才计划项目情况: 1. 山东省自然科学基金,ZR2015AM017,病毒基因分型模型研究,2015/03-2017/03,12万元,已结题,主持 2. 国家自然科学基金,11171369,肿瘤基因表达谱数据分析及应用算法研究,2012/01-2015/12,40万元,已结题,参加 3. 山东省自然科学基金,ZR2010AM020,蛋白质反演表示及肿瘤特征基因识别,2011/01-2013/12,6万元,已结题,主持 行政职务与学术兼职: • 2016年开始任山东省物理学会生物物理专业委员会副主任 • 2017年开始任山东省医学影像学研究会精准医学与转化医学分会副主任。 • 数学评论(Mathematical Reviews/MathSciNet) 评论员 (评论员号为087698)。 • 国际SCI杂志MATCH Communications in Mathematical and in Computer Chemistry(影响因子3.58)编委。 • 国际杂志 IJEI: International Journal of Engineering and Industries 编委。 • 国际杂志International Journal of Bioinformatics & Biological Systems (IJBBS)编委 • 国际杂志Mathematics and Computer Science(MCS)编委 • 国际杂志 Current Updates in Bioinformatics编委 访问经历: 2013.01-2014.01, Visiting scholar at Washington University in St. Louis. 学习经历: Education and Research: Jan.2008- Professor of School of Mathematics and Statistics, Shandong University at Weihai, China. Sep.2000-Jun.2003 Doctor of Computational Mathematics, Dalian University of Technology, China. Sep.1986-Mar.1989 Master of Computational Mathematics, Dalian University of Technology, China. Sep.1982-Jun.1986 School of Mathematics, Jilin Normal University, China. 项目: 1. Model of viral genes genotyping (ZR2015AM017), time 2015.03-2018.03 2. Algorithm of tumor gene expression data analysis and application, Natural Science Foundation of China ,2012-2015. 3. Inversion represention of protein sequence and study on cancer related genes, Shandong Natural Science Foundation, 2010-2013. 4. Analysis of protein sequence and finding the characteristic genes in avian influenza virus genome, Shandong Natural Science Foundation, 2006-2009. 5. Research on application of mathematical method in RNA secondary structure, China Postdoctoral Science Foundation, 2005-2006. 6. Analysis and Implementation of mathematical model in MRI, Natural Science Foundation of Shandong University, 2004-2006. 7. Application of inversion techniques to basic hypergeometric series, Natural Science Foundation of Shandong University, 2002-2004. 8. Mathematical Mechanization Method of combinatorial inversion formulas and Applications, Natural Science Foundation of Shandong University, 2002-2003. 论著: Ivan Gutman , Yusen Zhang, Matthias Dehmer, Aleksandar Ilic, Altenburg, Wiener, and Hosoya Polynomials, book: I. Gutman, B. Furtula (Eds.), Distance in Molecular Graphs Theory, Univ. Kragujevac, Kragujevac, 2012, pp. 49–70. 2018年: [63] Bin Yu, Shan Li, Wenying Qiu, Minghui Wang, Junwei Du, Yusen Zhang and Xing Chen, Prediction of subcellular location of apoptosis proteins by incorporating PsePSSM and DCCA coefficient based on LFDA dimensionality reduction, BMC Genomics (2018) 19:478 [62] Chuanyan Wu, Rui Gao, Daoliang Zhang, Shiyun Han, Yusen Zhang, PRWHMDA: Human Microbe-Disease Association Prediction by Random Walk on the Heterogeneous Network with PSO, Int. J. Biol. Sci. 2018; 14(8): 849-857. doi:10.7150/ijbs.24539 (IF 3.873) [61] Lili Cui, Li Ge, Hongbin Gan, Xiaoping Liu, Yusen Zhang (2018) Ovarian Cancer Identification Based on Feature Weighting for High-Throughput Mass Spectrometry Data. Journal of Systems Biology - 1(1):1-11. [60] matthias dehmer; Zengqiang Chen; Frank Emmert-Streib; Abbe Mowshowitz; Yongtang Shi; Shailesh Tripathi; Yusen Zhang, Towards Detecting Structural Branching and Cyclicity in Graphs: A Polynomial-based Approach, Information Sciences, (IF 4.832). [59] Chuanyan Wu, Rui Gao, Yang De Marinis, Yusen Zhang, A novel model for protein sequence similarity analysis based on spectral radius. Journal of Theoretical Biology 446 (2018) 61-70. June 2018 2017年: [59] Chunrui Xu, Li Ge, Yusen Zhang, Matthias Dehmer, Ivan Gutman, Computational prediction of therapeutic peptides based on graph index, Journal of Biomedical Informatics [58] Zheng-Wei Li , pengyong han , Xiao Li , Yusen Zhang , Haiquan Yu , Ru Nie , Xing Chen , In silico prediction of drug-target interaction networks based on drug chemical structure and protein sequences, Scientific Reports 7, 11174 (2017) [57] Bin Yu, Lifeng Lou, Shan Li , Yusen Zhang, Wenying Qiua, Xue Wu, Minghui Wang, Baoguang Tian, Prediction of protein structural class for low-similarity sequences using Chou's pseudo amino acid composition and wavelet denoising, Journal of Molecular Graphics and Modelling 76 (2017) 260–273 . July 2017 [56] Lulu Yu, Yusen Zhang, Ivan Gutman, Yongtang Shi, Matthias Dehmer , Protein Sequence Comparison Based on Physicochemical Properties and the Position-Feature Energy Matrix, Sci. Rep. 7, 46237 (2017); doi: 10.1038/srep46237 (2017). [55] Yu, L., Zhang, Y., Jian, G. Gutman, I., Classification for microarray data based on K-means clustering combined with modified single-to-noise-ratio based on graph energy, J. Comput. Theor. Nanosci. 14, 598–606 (2017). 2016年: [54] Huihui Chen, Yusen Zhang, Ivan Gutman, A Kernel-Based Clustering Method for Gene Selection with Gene Expression Data, Journal of Biomedical Informatics, 2016, 62:12-20. [53] Dandan Sun, Chunrui Xua, Yusen Zhang, Novel Method of 2D Graphical Representation for Proteins and Its Application,MATCH Commun. Math. Comput. Chem. 75 (2016) 431-446. (SCI, IF 3.858) 2015年: [52 ] Haiyan Wu, Yusen Zhang, Wei Chen, Zengchao Mu, Comparative analysis of protein primary sequences with graph energy, Physica A 437 (2015) 249–262 2014年: [51 ] Wu J, Zhang Y, Mu Z (2014) Predicting Nucleosome Positioning Based on Geometrically Transformed Tsallis Entropy. PLoS ONE 9(11): e109395. [50] Yan Su, Yusen Zhang, Wei Chen, Ivan Gutman, Nucleosome Positioning Based on Information Content, MATCH Commun. Math. Comput. Chem. 72(2014), 867-878. [49] Cangzhi Jia, Yusen Zhang, Zhiping Wang, SulfoTyrP: a high accuracy predictor of protein sulfotyrosine sites, MATCH Commun.Math. Comput. Chem. 71 (2014), 227-240 2013年: [48] Zengchao Mu, Jing Wu, Yusen Zhang, A novel method for similarity/ dissimilarity analysis of protein sequences,Physica A, 392 (2013) 6361–6366. [47] Yan XR, Yang YH, Zheng XM, Cui JH, Xie X, Li LW, Chen FL, Hua JL, Zhang YS ,Expression of FGF4 mRNA is mediated by mating behaviours in mice, Cell Biochemistry and Function, 2013 Aug; 31(6): 526-31 [46]. Shengli Zhang , Yusen Zhang , Ivan Gutman, Analysis of DNA Sequences Based on the Fuzzy Integral. MATCH. 2013. 70(1): 417-430. (SCI, IF=2.161) 2012年:SCI 7 篇 共 31 SCI, . [45] Jiaguo Liu, Ivan Gutman, Zengchao Mu, Yusen Zhang,,q-Wiener index of some compound trees,Applied Mathematics and Computation, 218 (2012), 9528–9535 [44] Z. Zhang, Y. Zhang, W. Chen, I. Gutman, Y. Li, Prediction of Nucleosome Positioning Using the Dinucleotide Absolute Frequency of DNA Fragment, MATCH Commun. Math. Comput. Chem. 68 (2012), 639-650. [43] Yusen Zhang, Ivan Gutman, Jiaguo Liu, Zengchao Mu,q-Analog of Wiener Index, MATCH Commun. Math. Comput. Chem. 67 (2012), 347-356. [42] Guiqian Jian, Yusen Zhang, Panpan Qian, Prediction of Subcellular Localization for Apoptosis Protein: Approached with a Novel Representation and Support Vector Machine, MATCH Commun. Math. Comput. Chem. 67 (2012), 867-878. [41]W. Chen, Y. Zhang, Comparative Analysis of RNA Molecules, MATCH Commun. Math. Comput. Chem. 67 (2012), 253-268. [40] Liangyun Ren, Yusen Zhang, Ivan Gutman , Predict the classification of transcription factors by incorporating their binding site properties into a novel mode of Chou’s pseudo amino acid composition, Protein & Peptide Letters, 19(2012), 1170-1176. [39] Zhiqian Zhang, Yusen Zhang, Ivan Gutman, Predicting Nucleosome Positions in Yeast: Using the Absolute Frequency, J. Biomol Struct Dyn 29(5), 1081-1088 (2012). 2011年: [38] Xingqin Qi, Qin Wu,Yusen Zhang,Eddie Fuller,and Cun-Quan Zhang, A Novel Model for DNA Sequence Similarity Analysis Based on Graph Theory, Evolutionary Bioinformatics 2011:7 149–158。 IF2.68 [37] Panpan Qian, Yusen Zhang, Guiqian Jian, A novel representation of protein sequences and its application, Journal of Convergence Information Technology, 6(2011), 227-235. [36] Liu, yanqiu, Yusen Zhang, New Invariant of DNA Sequences Based on a New Matrix Representation, Combinatorial Chemistry & High Throughput Screening, 2011, 14, 61-71。IF2.573 [35] Yusen Zhang, Wei Chen, A New Measure for Similarity Searching in DNA Sequences, MATCH Commun. Math. Comput. Chem. 65 (2011), 477-488. [34] Yusen Zhang, Wei Chen, A Dissimilarity Measure Based on Free Energy of DNA Nearest-neighbor Interaction, J Biomol Struct Dyn 28 (2011), 557- 565. 2010年 [33] Yusen Zhang, Xiangtian Yu, Analysis of Protein Sequence Similarity, The Fifth International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA 2010), 1255-1258。(EI) [32] Yusen Zhang, Liangyun, Ren, Two Feature Selections for Analysis of Microarray Data, The Fifth International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA 2010), 1259-1262. (EI) [31] Yusen Zhang, Wei Chen, Comparisons of RNA secondary structures based on LZ complexity, MATCH Commun. Math. Comput. Chem. 63 (2010), 513-528 [30] Huiling Wang, Yusen Zhang, A new approach to molecular phylogeny of H5N1 avian influenza viruses in Asia, International Journal of Quantum Chemistry, 110 (2010), 1964–1971 2010年4月。 [29] Liu, yanqiu, Zhang, Yusen, A New Method for Analyzing H5N1 Avian Influenza Virus, Journal of Mathematical Chemistry, 47(3)(2010),1129-1144. 2009年: [28] W. Chen, Y. Zhang, Comparisons of DNA Sequences Based on Dinucleotide, MATCH Commun. Math. Comput. Chem. 61 (2009), 533-540. [27] W. Chen, Y. Zhang, Three Distances for Rapid Similarity Analysis of DNA Sequences, MATCH Commun. Math. Comput. Chem. 61 (2009), 781-788. 2008年: [26] Zhang Yusen, Wang Tianming, Some applications of gasper's bibasic summation formula,Rocky Mountain Journal of Mathematics, 38(2008)703-712。 [25] Yusen Zhang, Wei Chen, A new approach to molecular phylogeny of primate mitochondrial DNA, MATCH Commun. Math. Comput. Chem., 59(2008), 625-634。 [24] Yusen Zhang, Mingshu Tan, Visualization of DNA sequences based on 3DD-Curves, J. Math. Chem. 44 (1) (2008), 206-216。 [23] Yusen Zhang, A simple method to construct the similarity matrices of DNA sequences, MATCH Commun. Math. Comput. Chem. 60 (2008), 313-324。 2007年 [22] Zhang Yu-sen, Liao Bo, On the similarity of DNA sequences based on 3-D graphical representation, 生物数学学报, 22(4)(2007),583-590。 [21] Yusen Zhang, On 3D Graphical Representation of RNA Secondary Structure, MATCH Commun. Math. Comput. Chem., 57 (2007), 157-168。 [20] Yusen Zhang, On 2D Graphical Representation of RNA Secondary Structure, MATCH Commun. Math. Comput. Chem. , 57 (2007), 697-710。 [19] Yusen Zhang, Wei Chen , Analysis of Similarity/Dissimilarity of Long DNA Sequences Based on Three 2DD-Curves, Combinatorial Chemistry & High Throughput Screening, 10 (2007), 231-237 [18] Yusen Zhang, Wei Chen , New Invariant of DNA Sequences, MATCH Commun. Math. Comput. Chem., 58 (2007), 207-218。 [17] Yusen Zhang, Wei Chen, Invariants of DNA Sequences Based on 2DD-Curves, Journal of Theoretical Biology, 242 (2006), 382-388。(被引用次数:17) [16] Yusen Zhang, Bo Liao,Kequan Ding, On 3DD-Curves of DNA Sequences,Molecular Simulation, 32(1)(2006), 29–34。(引用19) [15] Zhang Yu-Sen,Chen Wei, Liao Bo,Gong Xin-Bo,A method for obtaining integrable couplings,Commun. Theor. Phys. , 45 (6) ( 2006). 1000-1002。 [14] Bo Liao, Yusen Zhang, Kequan Ding, Tianming Wang, Analysis of similarity/dissimilarity of DNA sequences based on a condensed curve representation, Journal of Molecular Structure: THEOCHEM, 717(2005), 199-203. (引用46) [13]. Jiaquan Zhan, Bo Liao, Yusen Zhang, Numerical characterization of RNA secondary structure, Internet Electronic Conference of Molecular Design 2004, IECMD 2004, Nov. 23 – Dec. 6。 [12]. Yusen Zhang, Bo Liao, Kequan Ding, On 2D Graphical Representation of DNA Sequence of Nondegeneracy, Chemical Physics Letters,411(2005) , 28-32. (引用24) [11] Tan Mingshu and Zhang Yusen, A Note on the Bivariate and Trivariate Fibonacci Polynomials, The Southeast Asian Bulletin of Mathematics, 32(2005) 975–990. [10] ZHANG Yusen, Kequan Ding, Another proof of C. Krattenthaler's matrix inverse, 中科院研究生院学报,23 (2006) 577-580。 [9] ZHANG Yu_feng and ZHANG Yusen, A type of multi-component integrable hierarchy, Chinese Physics, 13(8) (2004) 1183-1186. [8] 张玉森,陈伟,带参数l的Bailey 引理,山东大学学报工学版 34(4)(2004)35-39。 [7] ZHANG Yusen, Chen Wei, q-Triplicate Inverse Series Relations with Applications to q-series,Rocky Mountain Journal of Mathematics, 35(4)(2005)1407-1427。 [6] 张玉森 RNA 二级结构的最小自由能计算, 2004 中国科学院博士后前沿与交叉学科科学论坛 论文集。 [5] ZHANG Yusen, WANG Tianming, Note on Summation Formulas Derived From an Identity of F. H. Jackson,The Australasian Journal of Combinatorics 28 (2003) 295-304。MR1999202 (2005i:05014). [4] ZHANG Yusen, TAN Mingshu, Summation formulae including a series, 西南师范大学学报 (自然科学版), 5(2002), 646-651。 [3] ZHANG Yusen, WANG Tian-ming, A Formula Containing Four Independent Bases and Its Applications, 数学研究与评论,23(2 ) (2003) 247-252。 [2] 张玉森,陈伟,两个q-级数恒等式,数学的实践与认识,3 2(4)(2002) 1037-1040 [1] 陈伟,张玉森,几个基本超几何级数公式,数学的实践与认识, 3 2(4)(2002),691-694。

邮箱: zhangys@sdu.edu.cn

加入时间: 08.10.2018 - 至今

刘小平
教授

刘小平

教授


博士,研究员,硕士生导师 研究领域:生物医学大数据的挖掘与分析、人工智能在计算生物学中的应用、生物信息学 联系方式: 地址:山东省威海市文化西路180号 山东大学(威海)数学与统计学院 邮编:264209 E-mail: xpliu@sdu.edu.cn, xpliu@email.sdu.edu.cn 行政职务与学术兼职: Scientific Reports Journal of Theoretical Biology IET Systems Biology IEEE/ACM Transactions on Computational Biology and Bioinformatics等杂志特邀审稿人 The 9th International Conference on Systems Biology 会议程序委员会委员 The 10th International Conference on Systems Biology 会议程序委员会委员 The 11th International Conference on Systems Biology 会议程序委员会委员 学习经历: 2009.09 ~ 2012.07 上海大学系统生物技术研究所 信息学与系统生物学 工学博士 2005.09 ~ 2008.06 新疆大学生命科学与技术学院 生物化学与分子生物学 理学硕士 2000.09 ~ 2004.07 烟台大学化学生物理工学院 生物科学 理学学士 工作经历: 2017.06 ~ 至今 山东大学(威海) 数学与统计学院 研究员 2015.02 ~ 2017.03 日本东京大学 生产技术研究所 特任研究员 2012.12 ~ 2014.03 日本东京大学 生产技术研究所 特任研究员 2012.08 ~ 2016.08 中国科学院 上海生命科学研究院 博士后 项目: 8. 国家自然科学基金面上项目,31771476,基于单样本组学数据的生物分子网络构建理论和方法, 2018/01-2021/12, 60万元, 在研,参与 7. 基于多组学谱特征的前列腺癌分子分型研究,国家重点研发计划,2016YFC09022,批准时间:2016年, 2016/07-2018/12, 640万元, 在研,项目骨干, 4/47 6. 国家自然科学基金重大研究计划,91529303,肝脏炎癌恶性转化关键节点的动态网络标志物模型及临床应用研究, 2016/01-2018/12, 250万元,在研,参与 5. 国家自然科学基金青年项目,61403363,糖尿病早期预警功能的动态网络生物标记的识别和研究,2015/01-2017/12,26万元,已结题,主持 4. 中国博士后特别资助基金,2014T70441,批准时间:2014年,15万,主持 3. 中国博士后基金,2013M541565,批准时间:2013年,5万,主持 2. mTOR调控网络在衰老及其相关代谢疾病发生进程中的作用及分子机制,973计划项目,2014CB910500,批准时间:2013年,学术骨干 1. 国家自然科学基金重大研究计划,91130032,基于多层次分子网络的药物重新定位预测方法研究,2012/01-2014/12, 70万元,已结题,参与 获奖: The best paper award for The 2011 Translational Bioinformatics Conference, Seoul, Korea, November 11, 2011 论著: 21. Jifan Shi, Juan Zhao, Xiaoping Liu, Luonan Chen, Tiejun Li, "Quantifying direct dependencies in biological networks by multiscale association analysis", IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2018, doi:10.1109/TCBB.2018.2846648. 20. Ben-gong Zhang, Weibo Li, Yazhou Shi, Xiaoping Liu, Luonan Chen, "Detecting causality from short time-series data based on prediction of topologically equivalent attractors", BMC Syst Biol, 11(Suppl 7): 128, 2017. 19. Pei Chen, Yongjun Li, Xiaoping Liu, Rui Liu, Luonan Chen, "Detecting the tipping points in a three-state model of complex diseases by temporal differential networks", J Transl Med, 15: 217, 2017. 18. Xiaoping Liu, Xiao Chang, Rui Liu, Xiangtian Yu, Luonan Chen, Kazuyuki Aihara, "Quantifying critical states of complex diseases using single-sample dynamic network biomarkers", PLOS COMPUT BIOL, 13(7): e1005633, 2017 17. Xiaoping Liu, Yuetong Wang, Hongbin Ji, Kazuyuki Aihara, Luonan Chen, "Personalized characterization of disease using sample-specific networks", NUCLEIC ACIDS RES, 44(22): e164, 2016. 16. Xiaoping Liu, Xiao Chang, "Identifying module biomarkers from gastric cancer by differential correlation network", ONCOTARGETS THER, 2016(9): 5701-5711, 2016. 15. Tao Zeng, Wanwei Zhang, Xiangtian Yu, Xiaoping Liu, Meiyi Li and Luonan Chen, "Big-data-based edge biomarkers: study on dynamical drug sensitivity and resistance in individuals", BRIEF BIOINFORM, 17(4):576-592, 2016. 14. Jiye Wang, Mi Li, Yun Wang, Xiaoping Liu, “Integrating subpathway analysis to identify candidate agents for hepatocellular carcinoma”, ONCOTARGETS THER, 2016(9): 1221-1230, 2016. 13. Qianqian Shi#, Xiaoping Liu#, Tao Zeng, William Wang, Luonan Chen, "Detecting disease genes of non-small lung cancer based on consistently differential interactions", CANCER METAST REV, 34(2):195-208, 2015. (#Co-first authors) 12. Wanwei Zhang, Tao Zeng, Xiaoping Liu, Luonan Chen, "Diagnosing phenotypes of single-sample individuals by edge biomarkers", J MOL CELL BIOL, 7(3): 231-241, 2015. 11. Duojiao Wu#, Xiaoping Liu#, Chen Liu, Zhiping Liu, Ming Xu, Ruiming Rong, Mengjia Qian, Luonan Chen, Tongyu Zhu, “Network analysis reveals roles of inflammatory factors in different phenotypes of kidney transplant patients”, J THEOR BIOL, 362: 62-68, 2014. (#Co-first authors) 10. Andrew E. Teschendorff, Xiaoping Liu, Helena Caren, Steve M. Pollard, Stephan Beck, Martin Widschwendter, Luonan Chen, “The Dynamics of DNA Methylation Covariation Patterns in Carcinogenesis”, PLOS COMPUT BIOL, 10(7): e1003709, 2014. 9. Rui Liu, Xiangtian Yu, Xiaoping Liu, Dong Xu, Kazuyuki Aihara, and Luonan Chen, "Identifying critical transitions of complex diseases based on a single sample", BIOINFORMATICS, 30(1): 1579-1586, 2014. 8. ZENG Tao, ZHANG WanWei, YU XiangTian, LIU XiaoPing, LI MeiYi, LIU Rui & CHEN LuoNan, “Edge biomarkers for classification and prediction of phenotypes”, SCI CHINA LIFE SCI, 57: 1103–1114, 2014. 7. Xiaoping Liu, Jiguang Wang, Luonan Chen, "Whole-exome sequencing reveals recurrent somatic mutation networks in cancer", CANCER LETT, 340:270-276, 2013. 6. Xiaoping Liu, Xiaodong Zhang, Wei-Hua Tang, Luonan Chen and Xing-Ming Zhao, "eFG: an electronic resource for Fusarium graminearum", DATABASE-OXFORD, Vol. 2013: bat042, 2013, doi:10.1093/database/bat042. 5. Xiaoping Liu, Rui Liu, Xing-Ming Zhao, Luonan Chen, "Detecting early-warning signals of type 1 diabetes and its leading biomolecular networks by dynamical network biomarkers", BMC MED GENOMICS, 6(Suppl 2):S8, 2013. 4. Xiaoping Liu, Zhi-Ping Liu, Xing-Ming Zhao, Luonan Chen, "Identifying disease genes and module biomarkers by differential interactions", J AM MED INFORM ASS, 19: 241-248, 2012. 3. Achyut Sapkota, Xiaoping Liu, Xing-Ming Zhao, Yongwei Cao, Jingdong Liu, Zhi-Ping Liu and Luonan Chen, "DIPOS: database of interacting proteins in Oryza sativa", MOL BIOSYST, 7: 2615-2621, 2011. 2. Xiaoping Liu, Wei-Hua Tang, Xing-Ming Zhao, Luonan Chen, "A network approach to predict pathogenic genes for Fusarium graminearum", PLOS ONE, 5(10): e13021, 2010. 1. Xiaoping Liu, Jiye Wang, Ping Gou, Cungui Mao, Zeng-Rong Zhu, Hongye Li, "In vitro inhibition of postharvest pathogens of fruit and control of gray mold of strawberry and green mold of citrus by aureobasidin A", INT J FOOD MICROBIOL, 119: 223–229, 2007. 专利: (1)陈洛南,刘小平,合原一幸,基于单样本数据的个体特异性网络构建方法和装置,2016.10.5,中国,CN201510068477.X

加入时间: 08.10.2018 - 至今

刘甲国
副教授

刘甲国

副教授


博士, 副教授 教育经历: (1) 2001.9–2006.6, 山东大学, 应用数学, 博士 (2) 1997.9–2001.6, 山东大学, 应用数学, 学士 科研与学术工作经历: (1) 2013.4 –2014.4, 美国加州大学Merced分校,访问学者 (2) 2010.12 -至今, 山东大学,威海校区,副教授 (3) 2006.7 - 2010.11, 山东大学,威海校区,讲师 主持或参加科研项目(课题)及人才计划项目情况: (1) 国家自然科学基金面上项目,11472161, 基于分数阶微积分理论的粘弹性本构模型参数反演及应用,2015/01-2018/12,85万元,在研,参加。 (2) 国家自然科学基金面上项目,11102102, 黏弹性血液的分数阶本构关系建模及应用,2012/01-2014/12,26万元,已结题,参加。 (3) 山东省自然科学基金, ZR2010AM020, 蛋白质反演表示及肿瘤特征基因识,2010/11-2013/11, 6万元,已结题,参加。 (4) 国家自然科学基金面上项目,10926097,分数阶粘弹性固体模型的能量耗散机理研究,2010/01-2010/12,3万元,已结题,主持。 (5) 山东省自然科学基金, ZR2009AQ014, 分数阶热传导本构方程理论及其应用,2009/12-2012/12, 3万元,已结题,参加。 代表性研究成果和学术奖励情况: 一、期刊论文 1. Jiaguo Liu, Ivan Gutman(*), Zengchao Mu, Yusen Zhang, q-Wiener index of some compound trees,Appl. Math. Comput. 2012, 218: 9528-9535. 2. Yusen Zhang(*), Ivan Gutman, Jiaguo Liu, Zengchao Mu, q-Analog of Wiener index, Match Commun. Math. Comput. Chem., 2012, 67: 347-356. 3. Haitao Qi(*), Jiaguo Liu, Some duct flows of a fractional Maxwell fluid, Eur. Phys. J. Special Topocs , 2011, 193: 71-79. 4. Haitao Qi(*), Jiaguo Liu, Time-fractional radial diffusion in hollow geometries, Meccanica, 2010, 45(4): 577-583. 5. Jiaguo Liu(*), Haitao Qi, Dissipated energy function, hysteresis and precondition of a viscoelastic solid model, Nonlinear Analysis: Real World Applications, 2010, 11(2): 907-912. 6. Jiaguo Liu(*), Haitao Qi, Hysteresis and precondition of the standard viscoelastic solid model, Nonlinear Analysis: Real World Applications, 2010, 11(4): 3066-3076. 7. 刘甲国,高阶的分数阶的粘弹性材料本构模型的复模量与复柔量,山东大学学报(理学版),2008,43(4):85-88. 8. Jiaguo Liu(*), Mingyu Xu, Higher-order fractional constitutive equations of viscoelastic materials involving three different parameters and their relaxation and creep function, Mech. Time-Depend. Mater., 2006, 10: 263-279. 9. 刘甲国, 徐明瑜(*), 人颅骨粘弹性的分数阶模型研究, 中国生物医学工程学报, 2005, 24(1): 12-16。 二、会议论文 1. Jiaguo Liu(*), Mingyu Xu, Study on the viscoelasticity of cancellous bone based on higher-order fractional models, 2nd International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2008, pp.1733-1736.

加入时间: 08.10.2018 - 至今

廖宝超
讲师

廖宝超

讲师


个人简介: 男,山东大学,讲师,博士,生物数学方向,国家留学基金委A 类资助中国海洋大学和美国弗吉尼亚理工大学联合培养博士;台湾中原大学统计系访问学者;山东大学数学与统计学院博士后。主要从事渔业资源评估、生物数学、数学建模、渔业种群动力学研究。在STOCH ENV RES RISK A, FISHERIES MANAG ECOL和J MAR BIOL ASSOC UK等国际知名刊物上发表SCI 论文10篇,目前共完成论文中英文(第一作者)15篇;主持科研项目5项:国家重点研发计划子项目1项、省部级项目4项;2010-2012年指导“全国大学生数学建模大赛” 获得国家二等奖(推荐全国一等奖)2项。 项目: 2018.03-2020.03,近海海洋资源适应性管理研究,国家重点研发计划专项(子项目),主持 2017.06-2019.06,黄渤海渔业资源评估不确定性研究,62批博士后科学基金面上资助项目,独立 2015.11-2017.12,黄渤海带鱼资源模型不确定性研究,山东省博士后创新项目专项,独立 2016.12-2018.12,鱼类种群动力学模型理论及小型化低龄化机制研究,国家实验室“青岛海洋科技”开放性项目,主持 2017.11-2019.11,黄渤海鱼类小型化低龄化趋势评估,山东省自然科学基金/培养基金,主持 联系方式: 邮箱:bliao@sdu.edu.cn 曾讲授《生物电磁学》《高等数学》《数学建模》,主要研究方向生物数学、渔业资源评估、鱼类种群动力学模型研究、数学建模。

加入时间: 08.10.2018 - 至今

柳军涛
讲师

柳军涛

讲师


数学与统计学院讲师;硕士生导师;博士 研究领域:生物信息学;组合优化 联系方式: 地址:山东省威海市文化西路180号,山东大学(威海)数学与统计学院 邮编:264209 电子邮件:juntao@sdu.edu.cn;juntaosdu@126.com 访问经历: 2015.10 - 2016.10,美国加州大学河滨分校,计算机科学与工程系,联合培养博士 学习经历: 2012.09 - 2017.06,山东大学数学学院,运筹学与控制论,博士学位 2008.09 - 2012.06 山东大学数学学院,信息与计算科学,学士学位 工作经历: 2017.07 - 至今,山东大学(威海)数学与统计学院 项目: 1. 基于参考基因组的转录组拼接算法研究及其在癌症中的应用,国家自然科学基金青年基金,主持,2019/01-2021/12; 2. 基于高通量RNA-seq数据的转录组拼接算法设计与应用,山东省自然科学基金培养基金,主持,2018/03-2020/06; 3. 基于二代RNA-seq数据转录组拼接的理论研究与算法设计,中国博士后科学基金面上资助,主持; 4. 癌症基因组中关键驱动突变信号通路的理论问题研究及算法设计,国家自然科学基金委员会面上项目,参与, 2016.01 - 2019.12; 5. 基于数据整合的生物大数据分析理论与关键技术,国家自然科学基金委员会重点项目,参与, 2015.01 - 2019.12; 论著: 7. Ashraful Arefeen, Juntao Liu, Xinshu Xiao, Tao Jiang TAPAS: Tool for Alternative Polyadenylation Site Analysis. Bioinformatics, 2018.(SCI, IF: 7.307) 6. Bo Gao, Guojun Li, Juntao Liu, Yang Li, Xiuzhen Huang: Identification of driver modules in pan-cancer via coordinating coverage and exclusivity. Oncotarget, 2017, 8(22): 36115. (SCI, IF: 5.168) 5. Juntao Liu, Ting Yu, Tao Jiang, Guojun Li: TransComb: genome-guided transcriptome assembly via combing junctions in splicing graphs. Genome Biology, 2016, 17(213). (SCI, IF: 11.908) 4. Juntao Liu, Guojun Li, Zheng Chang, Ting Yu, Bingqiang Liu, Rick McMullen, Pengyin Cheng, Xiuzhen Huang: BinPacker: Packing-Based De Novo Transcriptome Assembly from RNA-seq Data. Plos Computational Biology, 2016, 12(2): e1004772.(SCI, IF: 4.542) 3. Juntao Liu, Jianyang Sun, Xiuzhen Huang, Guojun Li, Bingqiang Liu: Goldindec: A Novel Algorithm for Raman Spectrum Baseline Correction. Applied Spectroscopy, 2015, 69(7): 834.(SCI, IF: 1.529) 2. Zheng Chang, Guojun Li, Juntao Liu, Yu Zhang, Cody Ashby, Deli Liu, Carole L. Cramer, Xiuzhen Huang: Bridger: A new framework for de novo transcriptome assembly using RNA-seq data. Genome Biology, 2015, 16(30).(SCI, IF: 11.908) 1. Juntao Liu, Xiaoyun Duan, Jianyang Sun, Yanbin Yin, Guojun Li, Lushan Wang, Bingqiang Liu: Bi-Factor Analysis Based on Noise-Reduction (BIFANR): A New Algorithm for Detecting Coevolving Amino Acid Sites in Proteins. Plos One, 2013, 8(11):e79764. (SCI, IF: 2.806)

邮箱: juntao@sdu.edu.cn

加入时间: 08.10.2018 - 至今

胡琴琴
讲师

胡琴琴

讲师


博士,讲师 研究方向:高维统计推断,半参数统计 联系方式: qqhu@sdu.edu.cn 访问经历: 2012.08-2013.08 美国奥本大学数学系 国家公派(联合培养) 学习经历: 2011.09-2015.06 山东大学金融研究院 理学博士 2012.08-2013.08 美国奥本大学数学系 国家公派(联合培养) 2008.09-2011.07 山东大学(威海)数学与统计学院 理学硕士 2008.09-2009.09 中国科学院研究生院 交流学习 2004.09-2008.07 山东大学(威海)数学与统计学院 理学学士 项目: 2017.01-2019.12,含有相关或内生协变量的超高维模型的特征筛选,国家自然科学基金/青年基金项目,主持 2016.01-2019.12,分布不确定条件下若干统计推断问题的研究,国家自然科学基金/面上项目,参加 2016.01-2018.12,正倒向随机微分方程与两类衍生模型的统计推断及金融中的应用,国家自然科学基金/青年基金项目,参加 2015.11-2017.12,方差/期望不确定下超高维模型的特征筛选,58批博士后科学基金面上资助项目,独立 2015.07-2017.12,分数阶反常热传导模型及其在激光加热中的应用,山东省自然科学基金/面上项目,参加 2015.07-2015.12,高维模型中分布不确定下的变量选择的研究,山东大学基本科研业务费项目,独立 2012.01-2014.12,黏弹性血液的分数阶本构关系建模及应用,国家自然科学基金/青年基金项目,参加 论著: [1] Peng Zeng, Qinqin Hu and Xiaoyu Li (2017). Geometry and Degrees of Freedom of Linearly Constrained Generalized Lasso. Scandinavian Journal of Statistics 44, 989–1008. [2] Qinqin Hu and Lu Lin (2017). Conditional sure independence screening by conditional marginal empirical likelihood. Annals of the Institute of Statistical Mathematics 69, 63-96. [3] Qinqin Hu, Peng Zeng and Lu Lin (2015). The dual and degrees of freedom of linearly constrained generalized lasso. Computational Statistics and Data Analysis 86, 13–26.

邮箱: qqhu@sdu.edu.cn

加入时间: 08.10.2018 - 至今

穆增超
讲师

穆增超

讲师


博士,讲师

加入时间: 08.10.2018 - 至今

王效强
讲师

王效强

讲师


博士,硕士生导师 研究方向: 应用统计 联系方式: Email: xiaoqiang.wang@sdu.edu.cn 学术经历: 2013/12--至今, 山东大学(威海),数学与统计学院,讲师 2011/12--2013/11, 法国AgroParisTech,数学与信息应用实验室,博士后 访问经历: 2016/02--2016/12, 雷恩, 法国农业科学研究院, PEGASE实验室,访问学者 学习经历: 2008/09--2011/10, 法国雷恩国立农学及食品研究高等教育学院, 应用统计,博士 2006/09--2008/06, 法国南不列塔尼大学,统计学,硕士 2001/09--2006/06, 长沙理工大学/法国南不列塔尼大学,数学,学士/硕士 工作经历: 2013/12--至今, 山东大学(威海),数学与统计学院 项目: [1] 病毒基因分型模型研究(ZR2015AM017),山东省自然科学基金,2015.03--2018.03, 12万元,第二位 [2] 多元隐马尔可夫模型及其统计推断, 教育部留学回国人员科研启动基金,2015/01--2017/01, 3.5万元,主持 [3] 非时齐分枝马尔可夫链的极限定理及其应用 (ZR2015PA003), 山东省自然科学基金,2015/07--2016/12, 4万元,第二位 [4] 依时随机环境中的实值分枝随机游动的极限定理 (11501146), 国家自然科学基金, 2016/01--2018/12,18万,第二位 [5] 隐马尔可夫模型及其在基因结构变异中的应用(11601286), 国家自然科学基金,2017/01--2019/12, 19万元,主持 [6] 基于连续观测样本的卡尔曼滤波系统的统计问题研究(11701329),国家自然科学基金,2018/01--2020/12, 22万元,第二位 代表性研究成果和学术奖励情况: 一、期刊论文 (1)Xiaoiqang Wang, Chunmao Huang(*), Convergence of Martingale and Moderate Deviations for a Branching Random Walk with a Random Environment in Time, Journal of Theoretical Probability,2017,30:961-995. (2)Xiaoqiang Wang, Hélène Gilbert, Carole Moreno, Olivier Filangi, Jean-Michel Elsen, Pascale Le Roy(*), Statistical properties of interval mapping methods on quantitative trait loci location: impact on QTL/eQTL analyses, BMC Genetics, 2012, pp.13-29. 二、会议论文 (1)Xiaoqiang Wang, Stephane Nicolas, Emilie Lebarbier, Delphine Madur, Marie-Christine Le Paslier, Dominique Brunel, Julie Aubert, Stephane Robin(*), Development of a new statistical method to detect CNV using micro-array data: Application to a diversity panel of 336 inbred lines using 50K maize infinium HD, 56th Annual Maize Genetics Conference, Beijing P.R. China, 2014.03.13-03.16. (2)Xiaoqiang Wang, Emilie Lebarbier, Julie Aubert , Stéphane Robin(*), Approximation variationnelle pour des HMM multivariés en vue de la detectionde CNV chez le mais, Workshop MSTGA, Toulouse France, 2013.05.17. (3)Xiaoqiang Wang, Emilie Lebarbier, Julie Aubert, Stéphane Robin(*), A multivariate HMM with dependency structure for the detection of copy number variations, 45e Journées de Statistique-SFdS, Toulouse, France, 2013.05.27-05.31. (4)Xiaoqiang Wang, Jean-Michel Elsen, Olivier Filangi, Pascale Le Roy(*), A Comparison of Regression Models for Testing QTL/eQTL co Location, JOBIM 2011, pp153-160, Paris, France, 2011.6.28-2011.7.1.

加入时间: 08.11.2018 - 至今

王麟
硕士生

王麟

硕士


2018级硕士研究生

加入时间: 01.07.2018 - 至今

张家林
硕士生

张家林

硕士


2017级硕士研究生

加入时间: 08.10.2018 - 至今

郝凯静
硕士生

郝凯静

硕士


2019级硕士研究生

加入时间: 08.10.2018 - 至今

张宇
硕士生

张宇

硕士


2017级硕士研究生

加入时间: 08.10.2018 - 至今

徐达
硕士生

徐达

硕士


2018级硕士研究生

加入时间: 08.10.2018 - 至今

黄艳红
硕士生

黄艳红

硕士


2018级硕士研究生

邮箱: huangyanhong9691@163.com

加入时间: 08.10.2018 - 至今

孔萌
硕士生

孔萌

硕士


2017级硕士研究生

加入时间: 08.10.2018 - 至今

王春翔
硕士生

王春翔

硕士


2018级硕士研究生

加入时间: 08.10.2018 - 至今

陈亚光
硕士生

陈亚光

硕士


2018级硕士研究生

邮箱: 18443143244@139.com

加入时间: 08.11.2018 - 至今

管理员

陈亚光
管理员

黄艳红
管理员

黄艳红

管理员


2018级硕士研究生

加入时间: 08.10.2018 - 至今

张宇
管理员

张宇

管理员


2017级硕士研究生

加入时间: 08.10.2018 - 至今

王麟
管理员

王麟

管理员


2018级硕士研究生

加入时间: 08.10.2018 - 至今

郝凯静
管理员

郝凯静

管理员


2019级硕士研究生

加入时间: 08.10.2018 - 至今

王春翔
管理员

王春翔

管理员


2018级硕士研究生

加入时间: 08.10.2018 - 至今

徐达
管理员

徐达

管理员


2018级硕士研究生

加入时间: 08.10.2018 - 至今

孔萌
管理员

孔萌

管理员


2017级硕士研究生

加入时间: 08.10.2018 - 至今

张家林
管理员

张家林

管理员


2017级硕士研究生

加入时间: 08.04.2019 - 至今