一、个人简介
代志军，男，1986年4月出生，博士，讲师，硕士生导师，美国密西根州立大学博士后，湖南农业大学第四批“1515”学术骨干人才，中国致公党员。植物保护学院生物信息系专任教师，主要承担生物统计学、R语言、科技论文写作等课程的教学。主要从事全基因组选择、肿瘤分类与信息基因筛选、药物分子定量构效关系建模、蛋白质相互作用预测、害虫预测预报等研究。
二、教育背景
2017/08–2019/01 美国密歇根州立大学，数量遗传学与基因组学课题组，博士后研究学者
2011/09–2014/12 湖南农业大学，农业昆虫与害虫防治专业(生物信息学方向)，博士
2008/09–2011/06 湖南农业大学，生物信息学专业，硕士
2004/09–2008/06 湖北工程学院，生物科学专业，学士
三、成果介绍
1. 主持的主要科研项目
1）国家自然科学基金青年基金，31701164，基于变量选择与训练群体优化的植物基因组选择方法研究，2018/01-2020/12
2）湖南省自然科学基金青年基金，2018JJ3238，水稻数量性状全基因组选择新方法及应用，2018/01-2020/12
3）作物种质创新与资源利用国家重点实验室培育基地开放项目，15KFXM11，基于最大互信息系数与直接分类的水稻蛋白质相互作用预测，2016/04-2018/03
4）湖南省教育厅科学研究一般项目，16C0776，方差分析与直接分类用于RNA-seq 癌基因表达分析，2016/09-2018/12
5）湖南农业大学青年科学基金，16QN33，高维特征选择与直接分类用于癌症差异甲基化研究，2016/09-2018/12
6）中国农学会教育教学类科研课题，PCE1606，“互联网+农业”新引擎助力创新创业教育改革，2016/11-2018/12
2. 主要论文成果
2019
23) Lifeng Wang, Pengwei Xing, Cong Wang, Xiaomao Zhou, Zhijun Dai*, Lianyang Bai*. Maximal Information Coefficient and Support Vector Regression Based Nonlinear Feature Selection and QSAR Modeling on Toxicity of Alcohol Compounds to Tadpoles of Rana temporaria. J Brazil Chem Soc, 2019, 30(2): 279-285.
2018
22) Qian Xu, Li Xiao, Li Zeng, Zhijun Dai*, Ying Wu*. Pediatric burns in South Central China: an epidemiological study. Int J Clin Exp Med, 2018, 11(9): 9280-9287.
2017
21) Xueli Zhang#, Congwei Sun#, Zheng Zhang, Zhijun Dai, Yuan Chen, Xiong Yuan, Zheming Yuan, Wenbang Tang, Lanzhi Li*, Zhongli Hu. Genetic dissection of main and epistatic effects of QTL based on augmented triple test cross design. PLOS ONE, 2017, 12(12): e0198054.
20) Zheng Zhang, Xueli Zhang, Bocheng Mo, Zhijun Dai, Zhongli Hu, Lanzhi Li*, Xingfei Zheng*. Combining Ability Analysis of Agronomic Trait in Indica × Indica Hybrid Rice. Acta Agronomica Sinica, 2017, 43(10): 1448-1457. (张征, 张雪丽, 莫博程, 代志军, 胡中立, 李兰芝*, 郑兴飞*. 籼型杂交水稻农艺性状的配合力研究[J]. 作物学报, 2017, 43(10): 1448-1457. [CSCD收录])
2016
19) Wei Zhou, Yanjun Fan, Xunhui Cai, Yan Xiang, Peng Jiang, Zhijun Dai, Yuan Chen, Siqiao Tan, Zheming Yuan*. High-accuracy QSAR models of narcosis toxicities of phenols based on various data partition, descriptor selection and modelling methods. RSC Advances, 2016, 6(108): 106847-106855.
2015
18) Wei Zhou#, Shubo Wu#, Zhijun Dai#, Yuan Chen, Yan Xiang, Jianrong Chen, Congwei Sun, Qingming Zhou*, Zheming Yuan*. Nonlinear QSAR models with high-dimensional descriptor selection and SVR improve toxicity prediction and evaluation of phenols on Photobacterium phosphoreum. Chemometr Intell Lab, 2015, 145, 30-38.
17) Congwei Sun#, Zhijun Dai#, Hongyan Zhang, Lanzhi Li*, and Zheming Yuan*. Binary Matrix Shuffling Filter for Feature Selection in Neuronal Morphology Classification. Comput Math Method M, 2015, Article ID 626975, 9 pages.
16) Li Yang, Congwei Sun, Zhijun Dai, Miao He, Zheming Yuan*. Expansion of the Molecular Network Related to Petal Development Based on MADS-box Proteins and Protein-Protein Interaction Network in Arabidopsis thaliana. Chin Bull Bot, 2015, 50(5): 614-622. (杨黎, 孙丛苇, 代志军, 何淼, 袁哲明*. 基于MADS-box诱饵与蛋白质相互作用的拟南芥花瓣发育分子网络拓展[J]. 植物学报, 2015, 50(05): 614-622. [CSCD收录])
2014
15) Zhijun Dai, Lifeng Wang, Yuan Chen, Haiyan Wang, Lianyang Bai, Zheming Yuan*. A pipeline for improved QSAR analysis of peptides: physiochemical property parameter selection via BMSF, near-negighbor sample selection via semivariogram, and weighted SVR regression and prediction. Amino Acids, 2014, 46(4): 1105-1119.
14) Lifeng Wang#, Zhijun Dai#, Hongyan Zhang, Lianyang Bai, Zheming Yuan*. Quantitative Sequence-Activity Model Analysis of Oligopeptides Coupling an Improved High-Dimension Feature Selection Method with Support Vector Regression. Chem Biol Drug Des, 2014, 83(4): 379-391.
13) Kai Wang, Lifeng Wang, Zhijun Dai, Lianyang Bai, Zheming Yuan*. QSAR modeling of E. coli promoters with parameters selected by binary matrix shuffling filter. J. Indian Chem Soc, 2014, 91(12): 2247-2253.
12) Yong Li, Wei Zhou, Zhijun Dai, Yuan Chen, Zhiming Wang, Zheming Yuan*. Predicting the Protein Folding Rate Based on Sequence Feature Screening and Support Vector Regression. Acta Phys -Chim. Sin. 2014, 30(6): 1091-1098. (李咏, 周玮, 代志军, 陈渊, 王志明, 袁哲明*. 基于序列特征筛选与支持向量回归预测蛋白质折叠速率[J]. 物理化学学报, 2014, 30(06): 1091-1098. [SCI收录])
11) Jinghua Liang, Congwei Sun, Zhijun Dai, Li Yang, Zheming Yuan*. Nonlinear quantitative structure-activity relationship of amide mosquito repellent. Chinese Journal of Pesticide Science, 2014, 16(6): 644-650. (梁景华, 孙丛苇, 代志军, 杨黎, 袁哲明*. 酰胺类驱蚊剂的非线性定量构效关系[J]. 农药学学报, 2014, 16(06): 644-650. [CSCD收录])
10) Hongyan Zhang, Lanzhi Li, Chao Luo, Congwei Sun, Yuan Chen, Zhijun Dai, Zheming Yuan*. Informative Gene Selection and Direct Classification of Tumor Based on Chi-Square Test of Pairwise Gene Interactions. Biomed Res Int, 2014, Article ID 589290, 9 pages.
2013
9) Wei Zhou, Zhijun Dai, Yuan Chen, Zheming Yuan*. Computational QSAR models with high-dimensional descriptor selection improve antitumor activity design of ARC-111 analogues. Med Chem Res, 2013, 22(1): 278-286.
8) Haiyan Wang, Hongyan Zhang, Zhijun Dai, Mingshun Chen, Zheming Yuan*.TSG: a new algorithm for binary and multi-class cancer classification and informative genes selection. BMC Med Genomics, 2013, 6(Suppl 1):S3.
7) Lanzhi Li, Congwei Sun, Yuan Chen, Zhijun Dai, Zhen Qu, Xingfei Zheng, Sibin Yu, Tongmin Mou, Chenwu Xu*, Zhongli Hu*. QTL mapping for combining ability in different population-based NCIIdesigns: a simulation study. J Genet, 2013, 92(3): 529-543.
6) Na Han, Zheming Yuan*, Yuan Chen, Zhijun Dai, Zhiming Wang. Prediction of HLA-A*0201 Restricted Cytotoxic T Lymphocyte Epitopes Based on High-Dimensional Descriptor Nonlinear Screening. Acta Phys. -Chim. Sin. 2013, 29(9): 1945-1953. (韩娜, 袁哲明*, 陈渊, 代志军, 王志明. 基于高维特征非线性筛选的HLA-A*0201限制性CTL表位预测[J]. 物理化学学报, 2013, 29(09): 1945-1953. [SCI收录])
2012
5) Wei Zhou#, Zhijun Dai#, Yuan Chen, Haiyang Wang, Zheming Yuan*. High-dimensional descriptor selection and computational qsar modeling for antitumor activity of arc-111 analogues based on support vector regression (SVR). Int J Mol Sci, 2012, 13(1): 1161-1172.
4) Hongyan Zhang, Haiyan Wang, Zhijun Dai, Mingshun Chen, Zheming Yuan*. Improving accuracy for cancer classification with a new algorithm for genes selection. BMC bioinformatics, 2012, 13:298.
3) Manxiu Su, Lifeng Wang, Zhijun Dai, Zheming Yuan*, Lianyang Bai. Primary Structural Characterizations of Polypeptide and Antimicrobial Peptides QSAM Modeling. Chem J Chinese U, 2012, 33(11): 2526-2531. (苏满秀, 王立峰, 代志军, 袁哲明, 柏连阳. 多肽一级结构表征与抗菌肽QSAM建模[J]. 高等学校化学学报, 2012, 33(11): 2526-2531. [SCI收录])
2011
2) Weiwei Li, Zhijun Dai, Xiansheng Tan, Zheming Yuan*. Phenol Compounds QSAR Modeling Based on Support Vector Regression. Prog Mod Biomed, 2011, 11(24): 4857-4860. (李巍巍, 代志军, 谭显胜, 袁哲明*. 基于支持向量回归的酚类化合物QSAR建模[J]. 现代生物医学进展, 2011, 11(24): 4857-4860.)
1) Zhijun Dai, Wei Zhou, Zheming Yuan*. A novel method of nonlinear rapid feature selection for high-dimensional features and its application in peptide QSAR modeling based on support vector machine. Acta Phys. -Chim. Sin. 2011, 27(7): 1654-1660. (代志军, 周玮, 袁哲明*. 基于支持向量机的高维特征非线性快速筛选与肽QSAR建模[J]. 物理化学学报, 2011, 27(07): 1654-1660. [SCI收录])
3. 主要获奖成果
1）2016年“华为杯”第十三届全国研究生数学建模竞赛二等奖（指导老师）
2）2016年湖南省自然科学奖三等奖（排名4）
3）2015年湖南省首届研究生数学建模竞赛三等奖（指导老师）
4）2014年第十届北美校友奖学金
5）2014年湖南农业大学科研成就奖一等奖
6）2013年湖南省优秀硕士学位论文奖
