教育团队

    季加东

      称:副教授

      务:无

电子邮箱:jiadong@sdufe.edu.cn

办公电话:无

 

 

 

 

教师简介

 

教育背景

2012.09-2017.06,山东大学 流行病与卫生统计学,博士

2015.08-2016.08,纽约城市大学 计算机系, 交流访问

2008.09-2012.06,山东大学 统计学,理学学士

 

工作经历

2017.09-至今,山东财经大学,副教授

 

学术与社会兼职

山东省大数据研究会,理事

 

研究领域、主讲课程与研究方向

  生物统计

  高维数据

  /网络模型

  生物信息学

 

 

 

研究成果

 

代表性成果

(*indicate corresponding author)

[1] He Y, Ji J*, Xie L, Zhang X, Xue F. A new insight into underlying disease mechanism through semi-parametric latent differential network model. BMC bioinformatics, to appear.

[2] Gao N, Zhang T, Ji J, Xu K, Tian X. The efficacy and adverse events of mTOR inhibitors in lymphangioleiomyomatosis: systematic review and meta-analysis. Orphanet Journal of Rare Diseases. 2018, 13:134.

[3] Ji J, He D, Feng Y, He Y, Xue F, Xie L. JDINAC: joint density-based non-parametric differential interaction network analysis and classification using high-dimensional sparse omics data. Bioinformatics. 2017, 33(19):3080-3087.

[4] He Y, Zhang X, Ji J, Liu B. Joint Estimation of Multiple High Dimensional Gaussian Copula Graphical Models. Australian & New Zealand Journal of Statistics. 2017, 59(3):289-310.

[5] Ji J, Yuan Z, Zhang X, Xue F. A powerful score-based statistical test for group difference in weighted biological networks. BMC bioinformatics, 2016, 17: 86.

[6] Yuan Z#, Ji J# (#Contributed equally), Zhang X, Xu J, Ma D, Xue F. A powerful weighted statistic for detecting group differences of directed biological networks. Scientific Reports, 2016, 6: 34159.

[7] Yuan Z, Ji J, Zhang T, Liu Y, Zhang X, Chen W, Xue F. A novel chi-square statistic for detecting group differences between pathways in systems epidemiology. Statistics in Medicine, 2016, 35(29): 5512-5524.

[8] Dider S, Ji J, Zhao Z, Xie L. Molecular Mechanisms Involved in the Side Effects of Fatty Acid Amide Hydrolase Inhibitors: A Structural Phenomics Approach to Proteome-wide Cellular Off-target Deconvolution and Disease Association. npj Sys Biol Appl, 2016, 2:16023.

[9] Li H, Yuan Z, Ji J, Xu J, Zhang T, Zhang X, Xue F. A novel Markov Blanket-based repeated-fishing strategy for capturing phenotype-related biomarkers in big omics data. BMC genetics, 2016, 17: 51.

[10] Zhang X, Yuan Z, Ji J, Li H, Xue F. Network or regression-based methods for disease discrimination: a comparison study. BMC Medical Research Methodology, 2016, 16(1): 100.

[11] Xu J, Yuan Z, Ji J, Zhang X, Li H, Wu X, Xue F, Liu Y. A powerful score-based test statistic for detecting gene-gene co-association. BMC genetics, 2016, 17: 31.

[12] Gao N, Yuan Z, Tang X, Zhou X, Zhao M, Liu L, Ji J, Xue F, Ning G, Zhao J, Zhang H, Gao L. Prevalence of CHD-related metabolic comorbidity of diabetes mellitus in Northern Chinese adults: the REACTION study. J Diabetes Complications. 2016. 30(2): 199-205.

[13] Gao N, Yu Y, Zhang B, Yuan Z, Zhang H, Song Y, Zhao M, Ji J, Liu L, Xu C, Zhao J. Dyslipidemia in rural areas of North China: prevalence, characteristics, and predictive value. Lipids in Health and Disease, 2016, 15:154.

[14] Ji J, Yuan Z, Zhang X, Li F, Xu J, Liu Y, Li H, Wang J, Xue F. Detection for pathway effect contributing to disease in systems epidemiology with a case–control design. BMJ Open, 2015, 5(1): e006721.

[15] Li F, Zhao J, Yuan Z, Zhang X, Ji J, Xue F. A powerful latent variable method for detecting and characterizing gene-based gene-gene interaction on multiple quantitative traits. BMC genetics, 2013, 14(1): 89.

 

 

主持或作为主要参与人参与的科研项目

[1]    国家自然科学基金青年项目, 网络结构驱动的多层面组学生物标记筛选策略与统计方法研究 (81803336)2019/01-2021/1222万元,主持

[2]    山东省自然科学基金, 系统流行病学中多层面组学交互网络回归模型的构建及其统计推断方法研究(ZR2018BH033), 2018/03-2020/06, 7万元,主持

[3]    国家自然科学基金青年项目, 高维椭球 Copula 回归模型的变量选择及变点检测问题研究 (11801316)2019/01-2021/1226万元,2/6

[4]  国家自然科学基金面上项目, 系统流行病学中网络差异比较的统计分析方法研究 (81573259)2016/01-2019/1260万元,3/9

[5]    国家自然科学基金面上项目, 816732722016/01-2019/1250万元,4/8

[6]    国家自然科学基金青年项目, 312009942013/01-2015/1220万元,5/6

 

教学科研及荣誉奖励

[1]    2018年优秀科研成果奖二等奖,山东财经大学,1/2

[2]    2018年优秀科研成果奖三等奖,山东财经大学,2/2