胡学海

姓名:胡学海     性别:男

职称:副教授     学位:博士

电话:           邮箱:huxuehai@mail.hzau.edu.cn

工作单位:华中农业大学信息学院

研究方向:分形几何学、统计遗传学、生物信息学

教育经历:1998.09-2002.06 武汉大学 信息与计算科学 本科

2002.09-2007.06 武汉大学 基础数学 博士 分形几何学

主要职历:2007.07-2010.12 华中农业大学理学院 讲师

2011.01-2014.06 华中农业大学理学院 副教授

2014.07-至今 华中农业大学信息学院 副教

科研成果:胡学海,男,副教授,硕士生导师。2002年本科毕业于武汉大学数学系,2007年获武汉大学基础数学博士学位。2007年7月起在华中农业大学理学院任讲师,2010年晋升为副教授,2013年聘为硕士生导师。2017年全年在美国加州大学河滨分校做国家公派访问学者,其间于2017年09月-2018年01月任加州大学河滨分校助理研究员。曾任华中农业大学理学院数学与统计系主任,现任华中农业大学信息学院大数据科学系主任。担任Bioinformatics、BMC Genomics、Heredity、BMC Bioinformatics、IEEE Computational Biology等多个SCI期刊的审稿人。

研究领域为分形几何学、统计遗传学、生物信息学,多年来致力于探索分形与序列复杂度方法在生物信息领域,如DNA调控元件预测、功能蛋白质预测等方面的应用研究。2017年来,也重点展开基于整合基因组、转录组、代谢组等多组学数据对人类复杂疾病、植物复杂性状的机制解析、表型预测等统计遗传方法的研究。

科研项目:

主持国家自然科学基金面上项目《分形与序列复杂度方法在DNA调控元件预测中的应用》,批准号:11671003,时间:2017.01-2020.12,48万元;

主持国家自然科学基金青年基金《形式级数域上若干丢番图逼近问题的分形性质研究》,批准号:11001093,时间:2011.01-2013.12,17万元;

参与国家自然科学基金面上项目子项目《分形方法在分子进化与蛋白质研究中的应用》,批准号:11371016,时间:2014.01-2017.12,9.5万元;

已发表科研论文20余篇,其中以第一或通讯作者发表SCI论文15篇、EI论文2篇,分别发表在Plant Biotechnology JournalBMC BioinformaticsInternational Journal of Molecular SciencesJournal of Theoretical Biology等国际刊物上。主要论文目录如下:

[1] Xuehai Hu#, Weibo Xie, Chengchao Wu, Shizhong Xu*. A directed learning strategy integrating multiple omic data improves genomic prediction. Plant Biotechnology Journal, 2019. https://doi.org/10.1111/pbi.13117. (SCI 一区,影响因子:6.305)

[2] Chengchao Wu#, Jin Chen#, Yunxia Liu, Xuehai Hu*. Improved Prediction of Regulatory Element Using Hybrid Abelian Complexity Features with DNA Sequences. International Journal of Molecular Sciences, 2019, 20, 1704. (SCI 三区, 影响因子:3.687)

[3] Chengchao Wu, Shixin Yao, Xinghao Li, Chujia Chen and Xuehai Hu*. Genome-Wide Prediction of DNA Methylation Using DNA Composition and Sequence Complexity in Human.  International Journal of Molecular Sciences, 2017, 18, 420. (SCI 三区, 影响因子:3.687)

[4] Xiaohui Niu, Xuehai Hu*. Improved prediction of DNA-binding proteins using chaos game representation and random forest. Current Bioinformatics, 2016, 11(2): 156-163.  (SCI 四区, 影响因子:0.921)

[5] Hongchu Wang, Xuehai Hu*. Accurate prediction of nuclear receptors with conjoint triad feature. BMC Bioinformatics, 2015, 16:402. (SCI 二区, 影响因子:2.576)

[6] Guoping Nie, Yong Li, Feichi Wang, Siwen Wang, Xuehai Hu*. A novel fractal approach for predicting G-protein–coupled receptors and their subfamilies with support vector machines. Bio-Medical Materials and Engineering, 2015, 26, s1, 1829-1836. (SCI 四区,影响因子:1.092)

[7] Yaping Lu, Yemao Liu, Xiaohui Niu, Qingyong Yang, Xuehai Hu, HongYu Zhang and Jingbo Xia*. Systems Genetic Validation of the SNP-Metabolite Association in Rice Via Metabolite-Pathway-Based Phenome-Wide Association Scans.  Frontiers in Plant Science, 2015, Nov 27; 6:1027. (SCI 二区, 影响因子:4.14)

[8] Xiaohui Niu, Xuehai Hu*, Feng Shi and Jingbo Xia. Predicting DNA binding proteins using support vector machine with hybrid fractal features. Journal of Theoretical Biology, 2014, 343, 186-192.  (SCI 三区,影响因子:2.496)

[9] Jinlong Lu, Xuehai Hu* and Donggang Hu. A new hybrid fractal algorithm for predicting thermophilic nucleotide sequences.  Journal of Theoretical Biology, 2012, 293, 74-81. (SCI 三区,影响因子:2.496)

[10] Xiaohui Niu, Xuehai Hu*, F Shi and J. B. Xia. Predicting protein solubility by the general form of Chou's pseudo amino acid composition: approached from chaos game representation and fractal dimension.  Protein & Peptide Letters, 2012, 19 (9), 940-948. (SCI 三区,影响因子:1.942)

[11] Xiaolei Liu, Jinlong Lu, and Xuehai Hu*. Predicting thermophilic proteins with pseudo amino acid composition: approached from chaos game representation and principal component analysis Protein & Peptide Letters, 2011, 18 (12), 1244-1250. (SCI 三区,影响因子:1.942)

[12] Jingbo Xia, Silan Zhang*, Feng Shi, Huijuan, Xuehai Hu, Xiaohui Niu, Zhi Li. Using the concept of pseudo amino acid composition to predict resistance gene against Xanthomonas oryzae pv. oryzae in rice: an approach from chaos games representation.  Journal of Theoretical Biology, 2011, 284(1), 16-23. (SCI 三区,影响因子:2.496)

[13] Jingbo Xia*, Xuehai Hu, Feng Shi, Xiaohui Niu, Chengjun Zhang. Support vector machine method on predicting resistance gene against Xanthomonas oryzae pv. oryzae in rice. Expert Systems with Applications, 2010, 37(8), 5946–5950. (SCI 二区,影响因子:2.339)

[14] Xiaohui Niu, Nana Li, Feng Shi, Xuehai Hu, Jingbo Xia*. Predicting protein solubility with a hybrid method by support vector machine and BP neural network. Protein & Peptide Letters, 2010, 17(12), 1466-1472. (SCI 三区,影响因子:1.942)

[15] Xuehai Hu*, Baowei Wang, Jun Wu, Yueli Yu. Cantor sets determined by partial quotients of continued fractions of Laurent series. Finite Fields and Their Applications, 2008, 14, 417-437. (SCI 二区,影响因子:1.077)

[16] Xuehai Hu and Jun Wu*. Continued fractions with sequences of partial quotients over the field of Laurent series. Acta Arithmetica, 2009, 136(3), 201-211. (SCI 四区,影响因子:0.476)

[17] Donggang Hu and Xuehai Hu*. Arbitrarily long arithmetic progressions for continued fractions of Laurent series.  Acta Mathematica Scientia, 2013, 33 (4): 943-949.  (SCI 四区,影响因子:0.661)

[18] Xuehai Hu*, Jian Xu and Bing Li. Metric theorem and Hausdorff dimension on recurrence rate of Laurent series. Bulletin of the Korean Mathematical Society, 2014, 51(1), 157-171.  (SCI 四区,影响因子:0.403)

[19] Xuehai Hu* and Luming Shen.  A note on Continued fractions with sequences of partial quotients of Laurent series. Bulletin of the Korean Mathematical Society, 2012, 49, 875-883. (SCI 四区影响因子:0.403)