代志軍，博士，湖南農業大學碩士生導師
基本介紹
- 國籍：中國
- 民族：漢族
- 出生日期：1986年4月
- 學位/學歷：博士
- 政治面貌：中國致公黨員
個人簡介,教育背景,成果介紹,主要獲獎成果,
個人簡介
代志軍，男，1986年4月出生，博士，講師，碩士生導師，美國密西根州立大學博士後，湖南農業大學第四批“1515”學術骨幹人才，中國致公黨員。植物保護學院生物信息系專任教師，主要承擔生物統計學、R語言、科技論文寫作等課程的教學。
主要從事全基因組選擇、腫瘤分類與信息基因篩選、藥物分子定量構效關係建模、蛋白質相互作用預測、害蟲預測預報等研究。
教育背景
2017/08–2019/01 美國密西根州立大學，數量遺傳學與基因組學課題組，博士後研究學者
2011/09–2014/12 湖南農業大學，農業昆蟲與害蟲防治專業(生物信息學方向)，博士
2008/09–2011/06 湖南農業大學，生物信息學專業，碩士
2004/09–2008/06 湖北工程學院，生物科學專業，學士
成果介紹
1. 主持的主要科研項目
1）國家自然科學基金青年基金，31701164，基於變數選擇與訓練群體最佳化的植物基因組選擇方法研究，2018/01-2020/12
2）湖南省自然科學基金青年基金，2018JJ3238，水稻數量性狀全基因組選擇新方法及套用，2018/01-2020/12
3）作物種質創新與資源利用國家重點實驗室培育基地開放項目，15KFXM11，基於最大互信息係數與直接分類的水稻蛋白質相互作用預測，2016/04-2018/03
4）湖南省教育廳科學研究一般項目，16C0776，方差分析與直接分類用於RNA-seq 癌基因表達分析，2016/09-2018/12
5）湖南農業大學青年科學基金，16QN33，高維特徵選擇與直接分類用於癌症差異甲基化研究，2016/09-2018/12
6）中國農學會教育教學類科研課題，PCE1606，“網際網路+農業”新引擎助力創新創業教育改革，2016/11-2018/12
2. 主要論文成果
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. (張征, 張雪麗, 莫博程, 代志軍, 胡中立, 李蘭芝, 鄭興飛. 秈型雜交水稻農藝性狀的配合力研究[J]. 作物學報, 2017, 43(10): 1448-1457. [CSCD收錄])
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. (楊黎, 孫叢葦, 代志軍, 何淼, 袁哲明. 基於MADS-box誘餌與蛋白質相互作用的擬南芥花瓣發育分子網路拓展[J]. 植物學報, 2015, 50(05): 614-622. [CSCD收錄])
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. (李詠, 周瑋, 代志軍, 陳淵, 王志明, 袁哲明. 基於序列特徵篩選與支持向量回歸預測蛋白質摺疊速率[J]. 物理化學學報, 2014, 30(06): 1091-1098. [SCI收錄])
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. (梁景華, 孫叢葦, 代志軍, 楊黎, 袁哲明. 醯胺類驅蚊劑的非線性定量構效關係[J]. 農藥學學報, 2014, 16(06): 644-650. [CSCD收錄])
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. (韓娜, 袁哲明, 陳淵, 代志軍, 王志明. 基於高維特徵非線性篩選的HLA-A*0201限制性CTL表位預測[J]. 物理化學學報, 2013, 29(09): 1945-1953. [SCI收錄])
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. (蘇滿秀, 王立峰, 代志軍, 袁哲明, 柏連陽. 多肽一級結構表征與抗菌肽QSAM建模[J]. 高等學校化學學報, 2012, 33(11): 2526-2531. [SCI收錄])
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, 代志軍, 譚顯勝, 袁哲明. 基於支持向量回歸的酚類化合物QSAR建模[J]. 現代生物醫學進展, 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. (代志軍, 周瑋, 袁哲明. 基於支持向量機的高維特徵非線性快速篩選與肽QSAR建模[J]. 物理化學學報, 2011, 27(07): 1654-1660. [SCI收錄])
主要獲獎成果
1）2016年“華為杯”第十三屆全國研究生數學建模競賽二等獎（指導老師）
2）2016年湖南省自然科學獎三等獎（排名4）
3）2015年湖南省首屆研究生數學建模競賽三等獎（指導老師）
4）2014年第十屆北美校友獎學金
5）2014年湖南農業大學科研成就獎一等獎
6）2013年湖南省優秀碩士學位論文獎
