个人简介

教学信息 概率论与数理统计 （信科专业课） 非参数统计 （统计学专业课） 生物统计 （研究生课程） 概率论与数理统计 （经管类基础课） 线性代数 （大农类基础课） 概率论 （大农类基础课） 工作经历 讲师 2012.12~2014.12 南京农业大学 理学院 数学系 副教授 2014.12~至今 南京农业大学 理学院 数学系 访问学者 2018.04~2019.04 美国密歇根大学 生物统计系

研究领域

统计遗传、统计基因组学 概率统计 全基因组关联分析（GWAS） 高维海量数据分析

科研项目 1. 国家自然基金 青年项目, 主持, No. 31301229, 2014.1-2016.12. 2. 中央高校基本科研业务费, 主持, No. KJQN201414, 2014.3-2015.12 3. 国家自然基金 面上项目, 参与, No. 31771821, 2017.1-2020.12. 4. 国家自然基金 青年项目, 参与, No. 31301004, 2014.1-2016.12.

近期论文

查看导师新发文章 （温馨提示：请注意重名现象，建议点开原文通过作者单位确认）

1. Zhang Jin#, Feng Jian-Ying #, Ni Yuan-Li, Wen Yang-Jun, Niu Yuan, Tamba Cox Lwaka, Yue Chao, Song Qijian, Zhang Yuan-Ming. 2017. pLARmEB: Integration of least angle regression with empirical Bayes for multi-locus genome-wide association studies. Heredity, Accepted, DOI: 10.1038/hdy.2017.8(Featured Article, one of the most highly cited papers from 2017, 2018年引 用超过10次) 2. Zhang Jin, Yue Chao, Zhang Yuan-Ming. 2012. Bias correction for estimated QTL effects using the penalized maximum likelihood method. Heredity 108: 396-402 3. Xie Fang-Teng#, Niu Yuan#, Zhang Jin#, Bu Su-Hong, Zhang Han-Zhu, Geng Qing-Chun, Feng JianYing, Zhang Yuan-Ming. 2014. Fine mapping of quantitative trait loci for seed size traits in soybean. Molecular Breeding 34:2165-2178 4. Pian Cong#, Zhang Jin#, Chen Yuan-Yuan, Chen Zhi, Li Qin, Li Qiang, Zhang Liang-Yun. 2016. OPTriplet-ELM: Identification of real and pseudo microRNA precursors using extreme learning machine with optimal features. J Bioinform Comput Biol. 14(1):1650006 5. Wen Yang-Jun, Zhang Ya-Wen, Zhang Jin, Feng Jian-Ying, Jim M Dunwell, Zhang Yuan-Ming. An efficient multi-locus mixed model framework for the detection of small and linked QTLs in F2. Briefings in Bioinformatics, bby058, https://doi.org/10.1093/bib/bby058, 18 July 2018 6. Feng Jian-Ying, Zhang Jin, Zhang Wen-Jie, Wang Su-Bong, Han Shi-Feng, Zhang Yuan-Ming. 2013. An efficient hierarchical generalized linear mixed model for mapping QTL of ordinal traits in crop cultivars. PLoS ONE 8(4): e59541 7. Zhao Xiao-Yu, Zhang Jin, Chen Yuan-Yuan, Li Qin, Yang Tao, Pian Cong, Zhang Liang-Yun. 2014. Promoter recognition based on the maximum entropy hidden Markov model. Comput Biol Med. 51:73-81. 8. Pian Cong, Zhang Guang-Le, Chen Zhi, Chen Yuan-Yuan, Zhang Jin, Yang Tao, Zhang Liang-Yun. 2016. LncRNApred: Classification of Long Non-Coding RNAs and Protein-Coding Transcripts by the Ensemble Algorithm with a New Hybrid Feature. PLoS One 11(5):e0154567 9. Pian Cong, Chen Yuan-Yuan, Zhang Jin, Chen Zhi, Zhang Guang-Le, Yang Tao, Zhang Liang-Yun. 2017. V-ELMpiRNAPred: Identification of human piRNAs by the voting-based extreme learning machine (V-ELM) with a new hybrid feature. J Bioinform Comput Biol. 15(1):1650046. 10. Guangle Zhang, Cong Pian, Zhi Chen, Jin Zhang, Mingmin Xu, Liangyun Zhang, Yuanyuan Chen. Identification of cancer-related miRNA-lncRNA biomarkers using a basic miRNA-lncRNA network, PLoS One, 2018.05.01, 13(5): e0196681. 11. Wen Yang-Jun, Zhang Hanwen, Ni Yuan-Li, Huang Bo, Zhang Jin, Feng Jian-Ying, Wang Shi-Bo, Jim M. Dunwell, Zhang Yuan-Ming, Wu Rongling. 2017. Methodological implementation of mixed linear models in multi-locus genome-wide association studies. Briefings in Bioinformatics, online, DOI: 10.1093/bib/bbw145 12. Wang Shi-Bo, Wen Yang-Jun, Ren Wen-Long, Ni Yuan-Li, Zhang Jin, Feng Jian-Ying, Zhang YuanMing. 2016. Mapping small-effect and linked quantitative trait loci for complex traits in backcross or DH populations via a multi-locus GWAS methodology. Scientific Reports 2016, 6: 29951 13. Wang Shi-Bo, Feng Jian-Ying, Ren Wen-Long, Huang Bo, Zhou Ling, Wen Yang-Jun, Zhang Jin, Jim M. Dunwell, Xu Shizhong, Zhang Yuan-Ming. 2016.Improving power and accuracy of genome-wide association studies via a multi-locus mixed linear model methodology. Scientific Reports 6: 19444 (DOI:10.1038/srep19444) 14. Zhou Ling, Wang Shi-Bo, Jian Jianbo, Geng Qing-Chun, Wen Jia, Song Qijian, Wu Zhenzhen, Li Guang-Jun, Liu Yu-Qin, Jim M. Dunwell, Zhang Jin, Feng Jian-Ying Feng, Niu Yuan, Zhang Li, Ren Wen-Long, Zhang Yuan-Ming. 2015.Identification of domestication-related loci associated with flowering time and seed size in soybean with the RAD-seq genotyping method. Scientific Reports 5: 9350 (DOI: 10.1038/srep09350) 15. Zhang Wen-Jie, Niu Yuan, Bu Su-Hong, Li Meng, Feng Jian-Ying, Zhang Jin, Sheng-Xian Yang, MedrineMmyiOdinga, Wei Shi-Ping, Liu Xiao-Fen, Zhang Yuan-Ming. 2014. Epistatic association mapping for alkaline and salinity tolerance traits in the soybean germination stage. PLoS ONE 9(1): e84750 16. 张瑾, 岳超, 章元明. 基因表达数据聚类分析方法的比较。南京农业大学, 2014, 37 ( 6 ): 1-6 17. 冯建英, 温阳俊, 张瑾, 章元明. 植物关联分析方法的研究进展。作物学报, 2016. 945-956. 参编教材 《生物统计》2017.05, 中国农业出版社, 编委. 《概率论与数理统计》2016.12, 中国农业出版社, 副主编.