马英钧
讲师 博士
所属大学: 厦门理工学院
所属学院: 应用数学学院
个人简介
马英钧,男,河南西峡人,1987年07月出生
教育背景 2017年09月-2020年06月毕业于华中师范大学应用统计学专业,修业时间3年,获博士学位 2012年09月-2015年06月毕业于华中师范大学运筹学与控制论专业,修业时间3年,获硕士学位
工作经历 2020年9月至今 厦门理工学院数学与统计学院 讲师
科研和教改项目 序号 起止时间 项目名称 主要贡献 项目级别 1 2021.09-2024.09 基于跨网络集成学习的抗病毒药物靶标研究 主持 福建省自然科学基金项目-青年项目 2 2020.11 -2023.10 基于深度多网络嵌入的病毒蛋白质研究和药物组合推断 主持 福建省教育厅项目-中青年教师教育项目 3 2021.1 -2021.3 厦门市基本公共服务均等化状况研究 参与 横向项目
近期论文
1. Yingjun Ma*, Yuanyuan Ma. Hypergraph-based Logistic Matrix Factorization for Metabolite-disease Interaction Prediction [J]. Bioinformatics, 2021, 38(2): 435–443, Doi: 10.1093/bioinformatics/btab652.(SCI)
2. Yingjun Ma*. DeepMNE: Deep multi-network embedding for lncRNA-disease association prediction [J]. IEEE Journal of Biomedical and Health Informatics, 2022, Doi: 10.1109/JBHI.2022.3152619. (Early Access, SCI)
3. Yingjun Ma, Tingting He, Yu-Ting Tan, Xingpeng jiang*,Seq-BEL: Sequence-based Ensemble Learning for Predicting Virus-human Protein-protein Interaction [J]. IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB), 2020, Doi: 10.1109/TCBB.2020.3008157. (Early Access, SCI)
4. Yingjun Ma, Tingting He, Xingpeng Jiang*. Multi-network Logistic Matrix Factorization for Metabolite-disease Interaction Prediction [J]. FEBS Letters, 2020, 594(11): 1675-1684, Doi: 10.1002/1873-3468.13782. (SCI)
5. Yingjun Ma, Tingting He, Leixin Ge, Chenhao zhang, Xingpeng Jiang*. MiRNA-disease interaction prediction based on kernel neighborhood similarity and multi-network bidirectional propagation [J]. BMC Medical Genomics, 2019, 12(10): 1-14, Doi: 10.1186/S12920-019-0622-4. (SCI)
6. Yingjun Ma, Tingting He, Xingpeng Jiang*. Projection-based neighborhood non-negative matrix factorization for lncRNA-protein interaction prediction [J]. Frontiers in Genetics, 2019, 10: 1148, Doi: 10.3389/fgene.2019.01148. (SCI)
7. Yingjun Ma, Limin Yu, Tingting He, Xiaohua Hu, Xingpeng Jiang*. Prediction of long non-coding RNA-protein interaction through kernel soft-neighborhood similarity [C].2018 IEEE international conference on Bioinformatics and biomedicine (BIBM). IEEE, 2018: 193-196, Doi: 10.1109/BIBM.2018.8621460.(EI, CCF rank B)
8. Yingjun Ma, Leixin Ge, Yuanyuan Ma, Xingpeng Jiang, Tingting He, Xiaohua Hu*. Kernel Soft-neighborhood Network Fusion for MiRNA-Disease Interaction Prediction [C]. 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). IEEE, 2018: 197-200, Doi: 10.1109/BIBM.2018.8621122.(EI, CCF rank B)
9. YingjunMa*, QingquanLiu. Generalized matrix factorization based on weighted hypergraph learning for microbe-drug association prediction [J]. Computers in Biology and Medicine,2022, doi: 10.1016/j.compbiomed.2022.105503. (SCI, In press).
10. 蒋兴鹏,马英钧,吴倩。专利《一种基于投影邻居非负矩阵分解的lncRNA蛋白质关联预测方法》,专利号为ZL 2019 1 0664021.6