Yijie Ding (丁漪杰)

Suzhou University of Science and Technology, Research Assistant Research Interests:BioinformaticsMachine Learningdata mining

I received B.S. degree in Marine Remote Sensing and Information Processing from Tianjin University of Science and Technology in 2009, and a Ph.D. degree from School of Computer Science and Technology at Tianjin University (2018), China. My research interests include bioinformatics and machine learning.

Bioinformatics: Drug-target interaction;Drug-side effect Association;Drug-disease Association;Protein-protein interaction;DNA binding protein;

Machine learning: Multiple kernel learning;Recommended system;Fuzzy theory; Sparse representation;

  • Tianjin University  Computer science,Doctor | 2014.9-2018.6 Ph.D. |  supervisorJijun Tang; Fei Guo; Lab Link

  • Tianjin University of Science and Technology  Computer science,Master | 2009.9-2012.3

  • Tianjin University of Science and Technology  Marine science and technology,Bachelor | 2005.9-2009.6

Journal paper:

  • Hao Wang; Yijie Ding*; Jijun Tang; Fei Guo*. Identification of membrane protein types via multivariate information fusion with Hilbert–Schmidt Independence Criterion. Neurocomputing: 2019, DOI: 10.1016/j.neucom.2019.11.103. (CCF C)

  • Yijie Ding; Jijun Tang; Fei Guo*. Protein Crystallization Identification via Fuzzy Model on Linear Neighborhood Representation. IEEE/ACM Transactions on Computational Biology and Bioinformatics: 2019, DOI: 10.1109/TCBB.2019.2954826. (CCF B)

  • Yinan Shen; Yijie Ding; Jijun Tang*; Quan Zou*; Fei Guo*. Critical evaluation of web-based prediction tools for human protein subcellular localization. Briefings in bioinformatics: 2019, DOI: 10.1093/bib/bbz106. (CCF B)

  • Yijie Ding; Jijun Tang; Fei Guo*. Identification of drug–target interactions via fuzzy bipartite local model. Neural Computing and Applications: 2019, DOI: 10.1007/s00521-019-04569-z. (CCF C)

  • Yubo Wang; Yijie Ding; Jijun Tang; Yu Dai; Fei Guo*. CrystalM: a multi-view fusion approach for protein crystallization prediction. IEEE/ACM Transactions on Computational Biology and Bioinformatics: 2019, OI: 10.1109/TCBB.2019.2912173. (CCF B)

  • Yi Zou; Yijie Ding*; Jijun Tang; Fei Guo; Li Peng*. FKRR-MVSF: A Fuzzy Kernel Ridge Regression Model for Identifying DNA-Binding Proteins by Multi-View Sequence Features via Chou’s Five-Step Rule. International Journal of Molecular Sciences: 2019, 20(17):4175.

  • Chang Xu; Limin Jiang; Yijie Ding; Cong Shen; Gaoyan Zhang; Xuyao Yu. Identifying of ligand-receptor interactions via an integrated fuzzy model. Current Proteomics: 2019, DOI: 10.2174/1570164616666190306151423.

  • Yijie Ding; Feng Chen; Xiaoyi Guo*; Jijun Tang; Hongjie Wu*. Identification of DNA-binding proteins by multiple kernel support vector machine and sequence information. Current Proteomics: 2019, DOI: 10.2174/1570164616666190417100509.

  • Yijie Ding; Jijun Tang; Fei Guo*. The computational models of drug-target interaction prediction. Protein and Peptide Letters: 2019, DOI: 10.2174/0929866526666190410124110.

  • Limin Jiang, Yongkang Xiao, Yijie Ding, Jijun Tang and Fei Guo*. Discovering Cancer Subtypes via an Accurate Fusion Strategy on Multiple Profile Data.  Frontiers in Genetics: 2019

  • Cong Shen, Yijie Ding, Jijun Tang, Limin Jiang, Fei Guo*. LPI-KTASLP: Prediction of lncRNA-Protein Interaction by Semi-Supervised Link Learning with Multivariate Information.  IEEE Access: 2019

  • Cong Shen, Yijie Ding, Jijun Tang, Fei Guo*. Multivariate Information Fusion With Fast Kernel Learning to Kernel Ridge Regression in Predicting LncRNA-Protein Interactions. Frontiers in Genetics: 2019

  • Limin Jiang, Yongkang Xiao, Yijie Ding, Jijun Tang and Fei Guo*. FKL-Spa-LapRLS: an accurate method for identifying human microRNA-disease association. BMC Genomics: 2018 ,19(Suppl 10)

  • Limin Jiang; Yijie Ding; Jijun Tang; Fei Guo*. MDA-SKF: Similarity Kernel Fusion for Accurately Discovering miRNA-Disease Association. Frontiers in Genetics: 2018

  • Yijie Ding; Jijun Tang; Fei Guo*. Identification of Drug-side Effect Association via Semi-supervised Model and Multiple Kernel Learning. IEEE Journal of Biomedical and Health Informatics: 2018, 23(6), 2619-2632. (CCF C)

  • Yijie Ding; Jijun Tang; Fei Guo*. Identification of drug-side effect association via multiple information integration with centered kernel alignment. Neurocomputing: 2019 ,325 ,211-224. (CCF C) (1%ESI paper)

  • Yijie Ding; Jijun Tang; Fei Guo*. Identification of drug-target interactions via multiple information integration. Information Sciences: 2017 ,418 ,546-560. (CCF B)

  • Yijie Ding; Jijun Tang; Fei Guo*. Identification of Protein–Ligand Binding Sites by Sequence Information and Ensemble Classifier. Journal of chemical information and modeling: 2017 ,57 (12) ,3149-3161.

  • Leyi Wei; Yijie Ding; Ran Su; Jijun Tang; Quan Zou*. Prediction of human protein subcellular localization using deep learning. Journal of Parallel and Distributed Computing: 2017. (CCF B)

  • Cong Shen; Yijie Ding; Jijun Tang; Xinying Xu; Fei Guo*. An Ameliorated Prediction of Drug–Target Interactions Based on Multi-Scale Discrete Wavelet Transform and Network Features. International Journal of Molecular Sciences: 2017 ,18(8)

  • Yubo Wang; Yijie Ding; Fei Guo*; Leyi Wei; Jijun Tang. Improved detection of DNA-binding proteins via compression technology on PSSM information.  PLoS One: 2017 ,12(9) ,e0185587

  • Cong Shen; Yijie Ding; Jijun Tang; Jian Song; Fei Guo*. Identification of DNA–protein Binding Sites through Multi-Scale Local Average Blocks on Sequence Information. Molecules: 2017 ,22(12)

  • Chang Zhou; Hua Yu; Yijie Ding; Fei Guo; Xiu-Jun Gong*. Multi-scale encoding of amino acid sequences for predicting protein interactions using gradient boosting decision tree. PLoS One: 2017 ,12(8)

  • Yijie Ding; Jijun Tang; Fei Guo*. Predicting protein-protein interactions via multivariate mutual information of protein sequences. BMC bioinformatics: 2016 ,17 (1) ,398. (CCF C)

  • Yijie Ding; Jijun Tang; Fei Guo*. Identification of Protein–Protein Interactions via a Novel Matrix-Based Sequence Representation Model with Amino Acid Contact Information. International journal of molecular sciences: 2016 ,17 (10) ,1623.

  • Yijie Ding; Jijun Tang; Fei Guo*. Identification of Residue-Residue Contacts Using a Novel Coevolution- Based Method. Current Proteomics: 2016 ,13(2) ,122-129.

  • Fei Guo; Yijie Ding; ShuaiCheng Li; Chao Shen; Lusheng Wang*. Protein-Protein Interface Prediction Based on Hexagon Structure Similarity. Computational biology and chemistry: 2016 ,63 ,83-88

  • Fei Guo*; Yijie Ding; Zhao Li; Jijun Tang. Identification of Protein-Protein Interaction via Detecting Correlated Mutation on Interface. Journal of Chemical Information and Modeling: 2015 ,55 (9) ,2042–2049


Conference paper:

  • Yijie Ding; Jijun Tang; Fei Guo*. Identification of DNA-Binding Proteins via Fuzzy Multiple Kernel Model and Sequence Information. International Conference on Intelligent Computing (ICIC), 2019, Nanchang.

1. "The analysis of drug-target interaction prediction methods via multiple kernels fusion", National Natural Science Foundation of China (NSFC 61902271), PI.

2. "Complex Network Analysis of Drugs Based on Multi-Kernel Learning", Natural Science Research of Jiangsu Higher Education Institutions of China (19KJB520014), PI.

Email:wuxi_dyjAT163.com

2019(Autumn) Computer network

2019(AutumnWEB technology foundation (HTML5)

2019(Spring)Computer composition principle

2019(Spring)Computer network

2018(Autumn) Object Oriented Programming (With JAVA)

2018(Autumn) WEB technology foundation (HTML5)


Updated on:2019-12-21 13:23      Total Visits:1107

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