基本信息
唐继军  男  博导  深圳理工大学
电子邮件: jj.tang@siat.ac.cn
通信地址: 天津
邮政编码:

研究领域

生物信息和计算生物学,通过算法、人工智能以及数学和统计方法


招生信息

   
招生专业
081203-计算机应用技术
0812J3-生物信息学
招生方向
生物信息,算法,基因组学

教育背景

2002-06--2004-08   美国University of New Mwxico   博士

工作经历

   
工作简历
2015-01~2021-06,美国University of South Carolina, 教授
社会兼职
2021-01-01-今,Frontiers in Genetics副主编,
2017-12-18-今,BMC Bioinformatics副主编,

教授课程

生物信息学导论
Computer Architecture
Computer Algorithm and Data Structure
Computer Game Development
Algorithm in Bioinformatics

专利与奖励

   
奖励信息
(1) 2019年度天津市工程专业学位硕士研究生优秀学位论文指导教师, 省级, 2019
专利成果
( 1 ) 多元互信息和残基结合能量蛋白质间相互作用预测方法, 发明, 2019, 第 5 作者, 专利号: CN201811366481.2
( 2 ) 识别4-甲基胞嘧啶位点的预测方法, 发明, 2020, 第 4 作者, 专利号: CN202011024490.0
( 3 ) 一种用于癌症细胞基因突变研究的高通量基因测序装置, 实用新型, 2020, 第 1 作者, 专利号: CN201920917583.2
( 4 ) 一种基于支持向量机预测非编码DNA的方法及应用平台, 发明, 2020, 第 4 作者, 专利号: CN201811052055.1
( 5 ) 一种基于神经网络集成学习的皮肤镜图像的分类方法, 发明, 2020, 第 4 作者, 专利号: CN202010750674.9

出版信息

   
发表论文
[1] Ai, Chengwei, Yang, Hongpeng, Ding, Yijie, Tang, Jijun, Guo, Fei. Low Rank Matrix Factorization Algorithm Based on Multi-Graph Regularization for Detecting Drug-Disease Association. IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS[J]. 2023, 第 4 作者20(5): 3033-3043, http://dx.doi.org/10.1109/TCBB.2023.3274587.
[2] Li, Xuejian, Ma, Shiqiang, Liu, Jin, Tang, Jijun, Guo, Fei. Inferring gene regulatory network via fusing gene expression image and RNA-seq data. BIOINFORMATICS[J]. 2022, 第 4 作者38(6): 1716-1723, http://dx.doi.org/10.1093/bioinformatics/btac008.
[3] Ding, Jiaqi, Song, Jie, Li, Jiawei, Tang, Jijun, Guo, Fei. Two-Stage Deep Neural Network via Ensemble Learning for Melanoma Classification. FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY[J]. 2022, 第 4 作者  通讯作者  9: https://doaj.org/article/58bd36ed7af444b0a12f3510f475179b.
[4] Limin Jiang, Jijun Tang, Fei Guo, Yan Guo. Prediction of Major Histocompatibility Complex Binding with Bilateral and Variable Long Short Term Memory Networks. BIOLOGY[J]. 2022, 第 2 作者11(6): https://doaj.org/article/ce0af0d0c277435eb312125ebe45ed50.
[5] Zhou, Haohao, Wang, Hao, Tang, Jijun, Ding, Yijie, Guo, Fei. Identify ncRNA Subcellular Localization via Graph Regularized k-Local Hyperplane Distance Nearest Neighbor Model on Multi-Kernel Learning. IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS[J]. 2022, 第 3 作者19(6): 3517-3529, http://dx.doi.org/10.1109/TCBB.2021.3107621.
[6] Ai, Chengwei, Yang, Hongpeng, Ding, Yijie, Tang, Jijun, Guo, Fei. A multi-layer multi-kernel neural network for determining associations between non-coding RNAs and diseases. NEUROCOMPUTING[J]. 2022, 第 4 作者493: 91-105, http://dx.doi.org/10.1016/j.neucom.2022.04.068.
[7] Shen, Cong, Chen, Yu, Xiao, Feng, Yang, Tian, Wang, Xinyue, Chen, Shengyong, Tang, Jijun, Liao, Zhijun. BAT-Net: An enhanced RNA Secondary Structure prediction via bidirectional GRU-based network with attention mechanism. COMPUTATIONAL BIOLOGY AND CHEMISTRY[J]. 2022, 第 7 作者  通讯作者  101: http://dx.doi.org/10.1016/j.compbiolchem.2022.107765.
[8] Song, Lifu, Geng, Feng, Gong, ZiYi, Chen, Xin, Tang, Jijun, Gong, Chunye, Zhou, Libang, Xia, Rui, Han, MingZhe, Xu, JingYi, Li, BingZhi, Yuan, YingJin. Robust data storage in DNA by de Bruijn graph-based de novo strand assembly. NATURE COMMUNICATIONS[J]. 2022, 第 5 作者13(1): http://dx.doi.org/10.1038/s41467-022-33046-w.
[9] Zamit, Ibrahim, Musa, Ibrahim Hussein, Jiang, Limin, Wei, Yanjie, Tang, Jijun. Trends and features of autism spectrum disorder research using artificial intelligence techniques: a bibliometric approach. CURRENT PSYCHOLOGY. 2022, 第 5 作者  通讯作者  
[10] Jiang, Limin, Guo, Fei, Tang, Jijun, Yu, Hui, Ness, Scott, Duan, Mingrui, Mao, Peng, Zhao, YingYong, Guo, Yan. SBSA: an online service for somatic binding sequence annotation. NUCLEIC ACIDS RESEARCH[J]. 2022, 第 3 作者50(1): http://dx.doi.org/10.1093/nar/gkab877.
[11] Pu, Yuqian, Li, Jiawei, Tang, Jijun, Guo, Fei. DeepFusionDTA: Drug-Target Binding Affinity Prediction With Information Fusion and Hybrid Deep-Learning Ensemble Model. IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS[J]. 2022, 第 3 作者  通讯作者  19(5): 2760-2769, 
[12] Kan, Yingxin, Jiang, Limin, Guo, Yan, Tang, Jijun, Guo, Fei. Two-stage-vote ensemble framework based on integration of mutation data and gene interaction network for uncovering driver genes. BRIEFINGS IN BIOINFORMATICS[J]. 2022, 第 4 作者  通讯作者  23(1): http://dx.doi.org/10.1093/bib/bbab429.
[13] Wang, Leyao, Ding, Yijie, Xu, Junhai, Lu, Wenhuan, Tang, Jijun, Guo, Fei. Identification of DNA N4-methylcytosine sites via fuzzy model on self representation. APPLIED SOFT COMPUTING[J]. 2022, 第 5 作者122: http://dx.doi.org/10.1016/j.asoc.2022.108840.
[14] Zhao, Mengyuan, He, Wenying, Tang, Jijun, Zou, Quan, Guo, Fei. A hybrid deep learning framework for gene regulatory network inference from single-cell transcriptomic data. BRIEFINGS IN BIOINFORMATICS[J]. 2022, 第 3 作者  通讯作者  23(2): http://dx.doi.org/10.1093/bib/bbab568.
[15] Ding, Yijie, Yang, Chao, Tang, Jijun, Guo, Fei. Identification of protein-nucleotide binding residues via graph regularized k-local hyperplane distance nearest neighbor model. APPLIED INTELLIGENCE[J]. 2022, 第 3 作者52(6): 6598-6612, http://dx.doi.org/10.1007/s10489-021-02737-0.
[16] Ding, Yijie, Tang, Jijun, Guo, Fei, Zou, Quan. Identification of drug-target interactions via multiple kernel-based triple collaborative matrix factorization. BRIEFINGS IN BIOINFORMATICS[J]. 2022, 第 2 作者23(2): http://dx.doi.org/10.1093/bib/bbab582.
[17] Zhou, Haohao, Wang, Hao, Ding, Yijie, Tang, Jijun. Multivariate Information Fusion for Identifying Antifungal Peptides with Hilbert-Schmidt Independence Criterion. CURRENT BIOINFORMATICS[J]. 2022, 第 4 作者  通讯作者  17(1): 89-100, http://dx.doi.org/10.2174/1574893616666210727161003.
[18] Jiang, Limin, Yu, Hui, Ness, Scott, Mao, Peng, Guo, Fei, Tang, Jijun, Guo, Yan. Comprehensive Analysis of Co-Mutations Identifies Cooperating Mechanisms of Tumorigenesis. CANCERS[J]. 2022, 第 6 作者  通讯作者  14(2): http://dx.doi.org/10.3390/cancers14020415.
[19] Zou, Yi, Wu, Hongjie, Guo, Xiaoyi, Peng, Li, Ding, Yijie, Tang, Jijun, Guo, Fei. MK-FSVM-SVDD: A Multiple Kernel-based Fuzzy SVM Model for Predicting DNA-binding Proteins via Support Vector Data Description. CURRENT BIOINFORMATICS[J]. 2021, 第 6 作者16(2): 274-283, http://dx.doi.org/10.2174/1574893615999200607173829.
[20] Zhao, Mengyuan, He, Wenying, Tang, Jijun, Zou, Quan, Guo, Fei. A comprehensive overview and critical evaluation of gene regulatory network inference technologies. BRIEFINGS IN BIOINFORMATICS. 2021, 第 3 作者22(5): http://dx.doi.org/10.1093/bib/bbab009.
[21] Guo, Xiaoyi, Zhou, Wei, Shi, Bin, Wang, Xiaohua, Du, Aiyan, Ding, Yijie, Tang, Jijun, Guo, Fei. An Efficient Multiple Kernel Support Vector Regression Model for Assessing Dry Weight of Hemodialysis Patients. CURRENT BIOINFORMATICS[J]. 2021, 第 7 作者16(2): 284-293, http://dx.doi.org/10.2174/1574893615999200614172536.
[22] Liao, Zhijun, Pan, Gaofeng, Sun, Chao, Tang, Jijun. Predicting subcellular location of protein with evolution information and sequence-based deep learning. BMC BIOINFORMATICS[J]. 2021, 第 4 作者  通讯作者  22(SUPPL 10): http://dx.doi.org/10.1186/s12859-021-04404-0.
[23] William H Hoskins, William I Hobbs, Michael J Eason, Scott Decker, Jijun Tang. The design and implementation of the Carolina Automated Reading Evaluation for reading deficit screening. COMPUTERS IN HUMAN BEHAVIOR REPORTS[J]. 2021, 第 5 作者4: 100123, http://dx.doi.org/10.1016/j.chbr.2021.100123.
[24] Wang, Jiandong, Liu, Jin, DiStefano, Christine, Pan, Gaofeng, Gao, Ruiqin, Tang, Jijun. Utilizing Deep Learning and Oversampling Methods to Identify Children's Emotional and Behavioral Risk. JOURNAL OF PSYCHOEDUCATIONAL ASSESSMENT[J]. 2021, 第 6 作者  通讯作者  39(2): 227-241, http://dx.doi.org/10.1177/0734282920951727.
[25] Li, Jiawei, Pu, Yuqian, Tang, Jijun, Zou, Quan, Guo, Fei. DeepATT: a hybrid category attention neural network for identifying functional effects of DNA sequences. BRIEFINGS IN BIOINFORMATICS[J]. 2021, 第 3 作者  通讯作者  22(3): http://dx.doi.org/10.1093/bib/bbaa159.
[26] Zhang, Jinhao, Zhang, Zehua, Pu, Lianrong, Tang, Jijun, Guo, Fei. AIEpred: An Ensemble Predictive Model of Classifier Chain to Identify Anti-Inflammatory Peptides. IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS. 2021, 第 4 作者18(5): 1831-1840, http://dx.doi.org/10.1109/TCBB.2020.2968419.
[27] Wang, Hao, Ding, Yijie, Tang, Jijun, Zou, Quan, Guo, Fei. Identify RNA-associated subcellular localizations based on multi-label learning using Chou's 5-steps rule. BMC GENOMICS[J]. 2021, 第 3 作者22(1): https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7811227/.
[28] Wang, Jiandong, Ness, Scott, Brown, Roger, Yu, Hui, Oyebamiji, Olufunmilola, Jiang, Limin, Sheng, Quanhu, Samuels, David C, Zhao, YingYong, Tang, Jijun, Guo, Yan. EditPredict: Prediction of RNA editable sites with convolutional neural network. GENOMICS[J]. 2021, 第 10 作者  通讯作者  113(6): 3864-3871, http://dx.doi.org/10.1016/j.ygeno.2021.09.016.
[29] Yang, Hongpeng, Ding, Yijie, Tang, Jijun, Guo, Fei. Drug-disease associations prediction via Multiple Kernel-based Dual Graph Regularized Least Squares. APPLIED SOFT COMPUTING[J]. 2021, 第 3 作者112: http://dx.doi.org/10.1016/j.asoc.2021.107811.
[30] Ma, Shiqiang, Tang, Jijun, Guo, Fei. Multi-Task Deep Supervision on Attention R2U-Net for Brain Tumor Segmentation. FRONTIERS IN ONCOLOGY[J]. 2021, 第 2 作者11: http://dx.doi.org/10.3389/fonc.2021.704850.
[31] Tang Jijun. Predicting MHC class I binder: existing approaches and a novel recurrent neural network solution. Briefings in Bioinformatics. 2021, 第 1 作者
[32] Yijie Ding, Hongyu Zhang, Jijun Tang, Limin Jiang. An Accurate Tool for Uncovering Cancer Subtypes by Fast Kernel Learning Method to Integrate Multiple Profile Data. FRONTIERS IN CELL AND DEVELOPMENTAL BIOLOGY,9,(2021-03-05). 2021, 第 3 作者
[33] Ding, Jiaqi, Zhang, Zehua, Tang, Jijun, Guo, Fei. A Multichannel Deep Neural Network for Retina Vessel Segmentation via a Fusion Mechanism. FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY[J]. 2021, 第 3 作者9: http://dx.doi.org/10.3389/fbioe.2021.697915.
[34] Yijie Ding, Jijun Tang, Fei Guo. Identification of drug-target interactions via multi-view graph regularized link propagation model. NEUROCOMPUTING. 2021, 第 2 作者461: 618-631, http://dx.doi.org/10.1016/j.neucom.2021.05.100.
[35] Zhang, Zehua, Ding, Jiaqi, Xu, Junhai, Tang, Jijun, Guo, Fei. Multi-Scale Time-Series Kernel-Based Learning Method for Brain Disease Diagnosis. IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS[J]. 2021, 第 4 作者25(1): 209-217, http://dx.doi.org/10.1109/JBHI.2020.2983456.
[36] Wang, Hao, Tang, Jijun, Ding, Yijie, Guo, Fei. Exploring associations of non-coding RNAs in human diseases via three-matrix factorization with hypergraph-regular terms on center kernel alignment. BRIEFINGS IN BIOINFORMATICS[J]. 2021, 第 2 作者22(5): http://dx.doi.org/10.1093/bib/bbaa409.
[37] Qian, Yuqing, Jiang, Limin, Ding, Yijie, Tang, Jijun, Guo, Fei. A sequence-based multiple kernel model for identifying DNA-binding proteins. BMC BIOINFORMATICS[J]. 2021, 第 4 作者22(SUPPL 3): https://doaj.org/article/2936bbd6a81848848615311f5b7ae25f.
[38] Yang, Chao, Ding, Yijie, Meng, Qiaozhen, Tang, Jijun, Guo, Fei. Granular multiple kernel learning for identifying RNA-binding protein residues via integrating sequence and structure information. NEURAL COMPUTING & APPLICATIONS[J]. 2021, 第 4 作者33(17): 11387-11399, http://dx.doi.org/10.1007/s00521-020-05573-4.
[39] Ding, Yijie, Tang, Jijun, Guo, Fei. Protein Crystallization Identification via Fuzzy Model on Linear Neighborhood Representation. IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS. 2021, 第 2 作者18(5): 1986-1995, http://dx.doi.org/10.1109/TCBB.2019.2954826.
[40] Yang, Hongpeng, Ding, Yijie, Tang, Jijun, Guo, Fei. Identifying potential association on gene-disease network via dual hypergraph regularized least squares. BMC GENOMICS[J]. 2021, 第 3 作者22(1): http://dx.doi.org/10.1186/s12864-021-07864-z.
[41] Jie Feng, Lan Wen, Jijun Tang, Shuhao Li, Limin Jiang. Multi-Omics Data Fusion via a Joint Kernel Learning Model for Cancer Subtype Discovery and Essential Gene Identification. FRONTIERS IN GENETICS,12,(2021-03-04). 2021, 第 3 作者
[42] He, Wenying, Tang, Jijun, Zou, Quan, Guo, Fei. MMFGRN: a multi-source multi-model fusion method for gene regulatory network reconstruction. BRIEFINGS IN BIOINFORMATICS[J]. 2021, 第 2 作者22(6): http://dx.doi.org/10.1093/bib/bbab166.
[43] Ding, Yijie, Tang, Jijun, Guo, Fei. Identification of drug-target interactions via multi-view graph regularized link propagation model. NEUROCOMPUTING[J]. 2021, 第 2 作者461: 618-631, http://dx.doi.org/10.1016/j.neucom.2021.05.100.
[44] Kan, Yingxin, Jiang, Limin, Tang, Jijun, Guo, Yan, Guo, Fei. A systematic view of computational methods for identifying driver genes based on somatic mutation data. BRIEFINGS IN FUNCTIONAL GENOMICS. 2021, 第 3 作者  通讯作者  20(5): 333-343, http://dx.doi.org/10.1093/bfgp/elab032.
[45] Zhang, Hongyu, Jiang, Limin, Tang, Jijun, Ding, Yijie. An Accurate Tool for Uncovering Cancer Subtypes by Fast Kernel Learning Method to Integrate Multiple Profile Data. FRONTIERS IN CELL AND DEVELOPMENTAL BIOLOGY[J]. 2021, 第 3 作者9: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7982914/.
[46] Jiang, Limin, Guo, Fei, Tang, Jijun, Leng, Shuguan, Ness, Scott, Ye, Fei, Kang, Huining, Samuels, David C, Guo, Yan. Global Autozygosity Is Associated with Cancer Risk, Mutational Signature and Prognosis. CANCERS[J]. 2020, 第 3 作者12(12): https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7761949/.
[47] Li, Shuhao, Jiang, Limin, Tang, Jijun, Gao, Nan, Guo, Fei. Kernel Fusion Method for Detecting Cancer Subtypes via Selecting Relevant Expression Data. FRONTIERSINGENETICS[J]. 2020, 第 3 作者11: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7511763/.
[48] Ding, Yijie, Tang, Jijun, Guo, Fei. The Computational Models of Drug-Target Interaction Prediction. PROTEIN AND PEPTIDE LETTERS. 2020, 第 2 作者27(5): 348-358, http://dx.doi.org/10.2174/0929866526666190410124110.
[49] Shen, Yinan, Ding, Yijie, Tang, Jijun, Zou, Quan, Guo, Fei. Critical evaluation of web-based prediction tools for human protein subcellular localization. BRIEFINGS IN BIOINFORMATICS. 2020, 第 3 作者  通讯作者  21(5): 1628-1640, http://dx.doi.org/10.1093/bib/bbz106.
[50] Wang, Zongyu, He, Wenying, Tang, Jijun, Guo, Fei. Identification of Highest-Affinity Binding Sites of Yeast Transcription Factor Families. JOURNAL OF CHEMICAL INFORMATION AND MODELING[J]. 2020, 第 3 作者60(3): 1876-1883, https://www.webofscience.com/wos/woscc/full-record/WOS:000526390800071.
[51] Li, Jiawei, Pu, Yuqian, Tang, Jijun, Zou, Quan, Guo, Fei. DeepAVP: A Dual-Channel Deep Neural Network for Identifying Variable-Length Antiviral Peptides. IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS[J]. 2020, 第 3 作者24(10): 3012-3019, http://dx.doi.org/10.1109/JBHI.2020.2977091.
[52] Limin Jiang, Mingrui Duan, Fei Guo, Jijun Tang, Olufunmilola Oybamiji, Hui Yu, Scott Ness, YingYong Zhao, Peng Mao, Yan Guo. SMDB: pivotal somatic sequence alterations reprogramming regulatory cascades. NAR CANCER. 2020, 第 4 作者2(4): https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7556404/.
[53] Ding, Yijie, Tang, Jijun, Guo, Fei. Identification of drug-target interactions via fuzzy bipartite local model. NEURAL COMPUTING & APPLICATIONS[J]. 2020, 第 2 作者32(14): 10303-10319, http://dx.doi.org/10.1007/s00521-019-04569-z.
[54] Wang, Hao, Ding, Yijie, Tang, Jijun, Guo, Fei. Identification of membrane protein types via multivariate information fusion with Hilbert-Schmidt Independence Criterion. NEUROCOMPUTING[J]. 2020, 第 3 作者383: 257-269, http://dx.doi.org/10.1016/j.neucom.2019.11.103.
[55] Pan, Gaofeng, Wang, Jiandong, Zhao, Liang, Hoskins, William, Tang, Jijun. Computational Methods for Predicting DNA Binding Proteins. CURRENT PROTEOMICS. 2020, 第 5 作者  通讯作者  17(4): 258-270, https://www.webofscience.com/wos/woscc/full-record/WOS:000544321500002.
[56] Xiaoyi Guo, Wei Zhou, Yan Yu, Yijie Ding, Jijun Tang, Fei Guo. A Novel Triple Matrix Factorization Method for Detecting Drug-Side Effect Association Based on Kernel Target Alignment. BIOMED RESEARCH INTERNATIONAL[J]. 2020, 第 5 作者2020: https://doaj.org/article/4835c8148759443992ecec8c2f6f2f81.
[57] Ding, Yijie, Jiang, Limin, Tang, Jijun, Guo, Fei. Identification of human microRNA-disease association via hypergraph embedded bipartite local model. COMPUTATIONAL BIOLOGY AND CHEMISTRY[J]. 2020, 第 3 作者89: http://dx.doi.org/10.1016/j.compbiolchem.2020.107369.
[58] Ding, Yijie, Tang, Jijun, Guo, Fei. Identification of Drug-Target Interactions via Dual Laplacian Regularized Least Squares with Multiple Kernel Fusion. KNOWLEDGE-BASED SYSTEMS[J]. 2020, 第 2 作者204: http://dx.doi.org/10.1016/j.knosys.2020.106254.
[59] Ding, Yijie, Tang, Jijun, Guo, Fei. Human protein subcellular localization identification via fuzzy model on Kernelized Neighborhood Representation. APPLIED SOFT COMPUTING[J]. 2020, 第 2 作者96: http://dx.doi.org/10.1016/j.asoc.2020.106596.
[60] Zhang, Zhaojuan, Wang, Wanliang, Xia, Ruofan, Pan, Gaofeng, Wang, Jiandong, Tang, Jijun. Achieving large and distant ancestral genome inference by using an improved discrete quantum-behaved particle swarm optimization algorithm. BMC BIOINFORMATICS[J]. 2020, 第 6 作者21(1): http://dx.doi.org/10.1186/s12859-020-03833-7.
[61] Shen, Cong, Ding, Yijie, Tang, Jijun, Jiang, Limin, Guo, Fei. LPI-KTASLP: Prediction of LncRNA-Protein Interaction by Semi-Supervised Link Learning With Multivariate Information. IEEE ACCESS[J]. 2019, 第 3 作者7: 13486-13496, https://doaj.org/article/090eddcab71949dd947992c28ade556a.
[62] Ding, Yijie, Tang, Jijun, Guo, Fei. Identification of drug-side effect association via multiple information integration with centered kernel alignment. NEUROCOMPUTING[J]. 2019, 第 2 作者325: 211-224, http://dx.doi.org/10.1016/j.neucom.2018.10.028.
[63] Jiang, Limin, Xiao, Yongkang, Ding, Yijie, Tang, Jijun, Guo, Fei. Discovering Cancer Subtypes via an Accurate Fusion Strategy on Multiple Profile Data. FRONTIERS IN GENETICS[J]. 2019, 第 4 作者  通讯作者  10: https://doaj.org/article/507bd81b57bd448e98510f634d46dce6.
[64] Zhang, Zehua, Xu, Junhai, Tang, Jijun, Zou, Quan, Guo, Fei. Diagnosis of Brain Diseases via Multi-Scale Time-Series Model. FRONTIERS IN NEUROSCIENCE[J]. 2019, 第 3 作者13: https://doaj.org/article/a5e3918789634056bd51ef5822f402f4.
[65] Xia, Ruofan, Lin, Yu, Zhou, Jun, Geng, Tieming, Feng, Bing, Tang, Jijun. Phylogenetic Reconstruction for Copy-Number Evolution Problems. IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS[J]. 2019, 第 6 作者  通讯作者  16(2): 694-699, https://www.webofscience.com/wos/woscc/full-record/WOS:000469284500032.
[66] Shen, Cong, Ding, Yijie, Tang, Jijun, Guo, Fei. Multivariate Information Fusion With Fast Kernel Learning to Kernel Ridge Regression in Predicting LncRNA-Protein Interactions. FRONTIERS IN GENETICS[J]. 2019, 第 3 作者9: https://doaj.org/article/878cadea3cef4abf9638a2764d1159c7.
[67] Shen, Yinan, Tang, Jijun, Guo, Fei. Identification of protein subcellular localization via integrating evolutionary and physicochemical information into Chou's general PseAAC. JOURNAL OF THEORETICAL BIOLOGY[J]. 2019, 第 2 作者462: 230-239, http://dx.doi.org/10.1016/j.jtbi.2018.11.012.
[68] Fei Guo, Quan Zou, Guang Yang, Dan Wang, Jijun Tang, Junhai Xu. Identifying protein-protein interface via a novel multi-scale local sequence and structural representation. BMC BIOINFORMATICS[J]. 2019, 第 5 作者20(S15): 1-11, http://dx.doi.org/10.1186/s12859-019-3048-2.
[69] Jiang, Limin, Wang, Chongqing, Tang, Jijun, Guo, Fei. LightCpG: a multi-view CpG sites detection on single-cell whole genome sequence data (vol 20, 306, 2019). BMC GENOMICS. 2019, 第 3 作者20: 
[70] Limin Jiang, Chongqing Wang, Jijun Tang, Fei Guo. LightCpG: a multi-view CpG sites detection on single-cell whole genome sequence data. BMC GENOMICS[J]. 2019, 第 3 作者20(1): 1-17, http://dx.doi.org/10.1186/s12864-019-5654-9.
[71] Wei, Leyi, Ding, Yijie, Su, Ran, Tang, Jijun, Zou, Quan. Prediction of human protein subcellular localization using deep learning. JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING[J]. 2018, 第 4 作者117: 212-217, http://dx.doi.org/10.1016/j.jpdc.2017.08.009.
[72] Zhang, Zehua, Tang, Jijun, Guo, Fei. Complex Detection in PPI Network Using Genes Expression Information. CURRENT PROTEOMICS[J]. 2018, 第 2 作者  通讯作者  15(2): 119-127, https://www.webofscience.com/wos/woscc/full-record/WOS:000427494700005.
[73] Zhang, Zehua, Song, Jian, Tang, Jijun, Xu, Xinying, Guo, Fei. Detecting complexes from edge-weighted PPI networks via genes expression analysis. BMC SYSTEMS BIOLOGY[J]. 2018, 第 3 作者12(S4): https://doaj.org/article/bb6cd641ffca4471918cc306be1b9f80.
[74] Jiang, Limin, Xiao, Yongkang, Ding, Yijie, Tang, Jijun, Guo, Fei. FKL-Spa-LapRLS: an accurate method for identifying human microRNA-disease association. BMC GENOMICS[J]. 2018, 第 4 作者19(S10): https://doaj.org/article/6f3868c763d049d4a5e20a27b9c70327.
[75] Xia, Ruofan, Lin, Yu, Zhou, Jun, Feng, Bing, Tang, Jijun. A Median Solver and Phylogenetic Inference Based on Double-Cut-and-Join Sorting. JOURNAL OF COMPUTATIONAL BIOLOGY[J]. 2018, 第 5 作者  通讯作者  25(3): 302-312, https://www.webofscience.com/wos/woscc/full-record/WOS:000429742800005.
[76] Jang, S Mo, Geng, Tieming, Li, JoYun Queenie, Xia, Ruofan, Huang, ChinTser, Kim, Hwalbin, Tang, Jijun. A computational approach for examining the roots and spreading patterns of fake news: Evolution tree analysis. COMPUTERS IN HUMAN BEHAVIOR[J]. 2018, 第 7 作者84: 103-113, http://dx.doi.org/10.1016/j.chb.2018.02.032.
[77] Jiang, Limin, Ding, Yijie, Tang, Jijun, Guo, Fei. MDA-SKF: Similarity Kernel Fusion for Accurately Discovering miRNA-Disease Association. FRONTIERS IN GENETICS[J]. 2018, 第 3 作者  通讯作者  9: https://doaj.org/article/31080b79a6364147a626233e514f7181.
[78] Feng, Bing, Hoskins, William, Zhang, Yan, Meng, Zibo, Samuels, David C, Wang, Jiandong, Xia, Ruofan, Liu, Chao, Tang, Jijun, Guo, Yan. Bi-stream CNN Down Syndrome screening model based on genotyping array. BMC MEDICAL GENOMICS[J]. 2018, 第 9 作者  通讯作者  11(S5): https://doaj.org/article/d43044b5a7c940dbaa1e1bbb3ea5aefc.
[79] Pan, Gaofeng, Jiang, Limin, Tang, Jijun, Guo, Fei. A Novel Computational Method for Detecting DNA Methylation Sites with DNA Sequence Information and Physicochemical Properties. INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES[J]. 2018, 第 3 作者19(2): http://dx.doi.org/10.3390/ijms19020511.
[80] Song, Jian, Tang, Jijun, Guo, Fei. Identification of Inhibitors of MMPS Enzymes via a Novel Computational Approach. INTERNATIONAL JOURNAL OF BIOLOGICAL SCIENCES[J]. 2018, 第 2 作者14(8): 863-871, https://www.webofscience.com/wos/woscc/full-record/WOS:000433262600007.
[81] Zhang, Yan, An, Lin, Xu, Jie, Zhang, Bo, Zheng, W Jim, Hu, Ming, Tang, Jijun, Yue, Feng. Enhancing Hi-C data resolution with deep convolutional neural network HiCPlus. NATURE COMMUNICATIONS[J]. 2018, 第 7 作者  通讯作者  9(1): https://doaj.org/article/5c053d03b3514bb6984fc7751445c963.
[82] Shen, Cong, Ding, Yijie, Tang, Jijun, Xu, Xinying, Guo, Fei. An Ameliorated Prediction of Drug-Target Interactions Based on Multi-Scale Discrete Wavelet Transform and Network Features. INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES[J]. 2017, 第 3 作者  通讯作者  18(8): https://doaj.org/article/213cf5395dc244ae9dd41127acae31c2.
[83] Zhang, Zehua, Guo, Kecheng, Pan, Gaofeng, Tang, Jijun, Guo, Fei. Improvement of phylogenetic method to analyze compositional heterogeneity. BMCSYSTEMSBIOLOGY[J]. 2017, 第 4 作者11(Suppl 4): http://dx.doi.org/10.1186/s12918-017-0453-x.
[84] Wang, Yubo, Ding, Yijie, Guo, Fei, Wei, Leyi, Tang, Jijun. Improved detection of DNA-binding proteins via compression technology on PSSM information. PLOS ONE[J]. 2017, 第 5 作者  通讯作者  12(9): http://dx.doi.org/10.1371/journal.pone.0185587.
[85] Chen, QingYun, Tang, Jijun, Du, PuFeng. Predicting protein lysine phosphoglycerylation sites by hybridizing many sequence based features. MOLECULAR BIOSYSTEMS[J]. 2017, 第 2 作者13(5): 874-882, http://dx.doi.org/10.1039/c6mb00875e.
[86] Feng Bing, Hoskins William, Zhang Yan, Meng Zibo, Samuels David C, Guo Yan, Tang Jijun, Hu XH, Shyu CR, Bromberg Y, Gao J, Gong Y, Korkin D, Yoo I, Zheng JH. Down Syndrome Prediction/Screening Model Based on Deep Learning and Illumina Genotyping Array. 2017 IEEE INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICINE (BIBM). 2017, 第 11 作者347-352, 
[87] Zhang, Yan, Zhang, Bo, Zheng, W Jim, Tang, Jijun, Yue, Feng, Hu, XH, Shyu, CR, Bromberg, Y, Gao, J, Gong, Y, Korkin, D, Yoo, I, Zheng, JH. HiCComp: Multiple-level Comparative Analysis of Hi-C Data by Triplet Network. 2017 IEEE INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICINE (BIBM). 2017, 第 11 作者92-96, 
[88] Wei, Leyi, Xing, Pengwei, Tang, Jijun, Zou, Quan. PhosPred-RF: A Novel Sequence-Based Predictor for Phosphorylation Sites Using Sequential Information Only. IEEE TRANSACTIONS ON NANOBIOSCIENCE[J]. 2017, 第 3 作者16(4): 240-247, http://dx.doi.org/10.1109/TNB.2017.2661756.
[89] Wei, Leyi, Tang, Jijun, Zou, Quan. Local-DPP: An improved DNA-binding protein prediction method by exploring local evolutionary information. INFORMATION SCIENCES[J]. 2017, 第 2 作者384: 135-144, http://dx.doi.org/10.1016/j.ins.2016.06.026.
[90] Luo, Haiwei, Huang, Yongjie, Stepanauskas, Ramunas, Tang, Jijun. Excess of non-conservative amino acid changes in marine bacterioplankton lineages with reduced genomes. NATURE MICROBIOLOGY[J]. 2017, 第 4 作者2(8): https://www.webofscience.com/wos/woscc/full-record/WOS:000410619800010.
[91] Ding, Yijie, Tang, Jijun, Guo, Fei. Identification of Protein-Ligand Binding Sites by Sequence Information and Ensemble Classifier. JOURNAL OF CHEMICAL INFORMATION AND MODELING[J]. 2017, 第 2 作者57(12): 3149-3161, https://www.webofscience.com/wos/woscc/full-record/WOS:000418879100021.
[92] Wei, Leyi, Tang, Jijun, Zou, Quan. SkipCPP-Pred: an improved and promising sequence-based predictor for predicting cell-penetrating peptides. BMC GENOMICS[J]. 2017, 第 2 作者18(Suppl 7): 1-11, http://dx.doi.org/10.1186/s12864-017-4128-1.
[93] Lei, GuoCheng, Tang, Jijun, Du, PuFeng. Predicting S-sulfenylation Sites Using Physicochemical Properties Differences. LETTERS IN ORGANIC CHEMISTRY[J]. 2017, 第 2 作者14(9): 665-672, http://dx.doi.org/10.2174/1570178614666170421164731.
[94] Ding, Yijie, Tang, Jijun, Guo, Fei. Identification of drug-target interactions via multiple information integration. INFORMATION SCIENCES[J]. 2017, 第 2 作者418: 546-560, http://dx.doi.org/10.1016/j.ins.2017.08.045.
[95] Zhou, Lingxi, Lin, Yu, Feng, Bing, Zhao, Jieyi, Tang, Jijun. Phylogeny analysis from gene-order data with massive duplications. BMC GENOMICS[J]. 2017, 第 5 作者  通讯作者  18(Suppl 7): 13-20, http://dx.doi.org/10.1186/s12864-017-4129-0.
[96] Yin, Zhaoming, Tang, Jijun, Schaeffer, Stephen W, Bader, David A. Exemplar or matching: modeling DCJ problems with unequal content genome data. JOURNAL OF COMBINATORIAL OPTIMIZATION[J]. 2016, 第 2 作者  通讯作者  32(4): 1165-1181, https://www.webofscience.com/wos/woscc/full-record/WOS:000387107700011.
[97] Li, Zhao, Tang, Jijun, Guo, Fei. Learning from real imbalanced data of 14-3-3 proteins binding specificity. NEUROCOMPUTING[J]. 2016, 第 2 作者217: 83-91, http://dx.doi.org/10.1016/j.neucom.2016.03.093.
[98] Ding, Yijie, Tang, Jijun, Guo, Fei. Identification of Protein-Protein Interactions via a Novel Matrix-Based Sequence Representation Model with Amino Acid Contact Information. INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES[J]. 2016, 第 2 作者17(10): https://doaj.org/article/d4157278ef7a48d7978ed8d4c89f2a35.
[99] Ding, Yijie, Tang, Jijun, Guo, Fei. Predicting protein-protein interactions via multivariate mutual information of protein sequences. BMC BIOINFORMATICS[J]. 2016, 第 2 作者17(1): http://dx.doi.org/10.1186/s12859-016-1253-9.
[100] Li, Zhao, Tang, Jijun, Guo, Fei. Identification of 14-3-3 Proteins Phosphopeptide-Binding Specificity Using an Affinity-Based Computational Approach. PLOS ONE[J]. 2016, 第 2 作者11(2): https://doaj.org/article/e2f3bc3cac294706a1313e7fb2a2d75f.
[101] 张文政, 唐继军, 李炳志, 元英进. 酿酒酵母基因组位置效应对外源基因表达的影响. 生物工程学报[J]. 2016, 第 2 作者32(7): 901-911, http://sciencechina.cn/gw.jsp?action=detail.jsp&internal_id=5748791&detailType=1.
[102] Tang, Jijun, Tian, Lu, Chen, YiPing Phoebe. Guest Editorial for the 14th Asia Pacific Bioinformatics Conference (APBC2016). COMPUTATIONAL BIOLOGY AND CHEMISTRY. 2016, 第 1 作者  通讯作者  63: 1-2, http://dx.doi.org/10.1016/j.compbiolchem.2016.03.007.
[103] Zhou Lingxi, Lin Yu, Feng Bing, Zhao Jieyi, Tang Jijun, Bourgeois A, Skums P, Wan X, Zelikovsky A. Phylogeny Reconstruction from Whole-Genome Data Using Variable Length Binary Encoding. BIOINFORMATICS RESEARCH AND APPLICATIONS, ISBRA 2016. 2016, 第 11 作者9683: 345-346, 
[104] Zou, Quan, Wan, Shixiang, Ju, Ying, Tang, Jijun, Zeng, Xiangxiang. Pretata: predicting TATA binding proteins with novel features and dimensionality reduction strategy. BMC SYSTEMS BIOLOGY[J]. 2016, 第 4 作者10(Suppl 4): http://dx.doi.org/10.1186/s12918-016-0353-5.
[105] Guo, Fei, Ding, Yijie, Li, Zhao, Tang, Jijun. Identification of Protein-Protein Interactions by Detecting Correlated Mutation at the Interface. JOURNAL OF CHEMICAL INFORMATION AND MODELING[J]. 2015, 第 4 作者55(9): 2042-2049, https://www.webofscience.com/wos/woscc/full-record/WOS:000362056900023.
[106] Gao, Nan, Zhang, Yan, Feng, Bing, Tang, Jijun. A Cooperative Co-Evolutionary Genetic Algorithm for Tree Scoring and Ancestral Genome Inference. IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS[J]. 2015, 第 4 作者12(6): 1248-1254, https://www.webofscience.com/wos/woscc/full-record/WOS:000368292400005.
[107] Zhou Jun, Lin Yu, Rajan Vaibhav, Hoskins William, Tang Jijun, Pop M, Touzet H. Maximum Parsimony Analysis of Gene Copy Number Changes. ALGORITHMS IN BIOINFORMATICS (WABI 2015). 2015, 第 11 作者9289: 108-120, 
[108] Shepherd, Jeremiah J, Zhou, Lingxi, Arndt, William, Zhang, Yan, Zheng, W Jim, Tang, Jijun. Exploring genomes with a game engine. FARADAY DISCUSSIONS[J]. 2014, 第 6 作者169: 443-453, https://www.webofscience.com/wos/woscc/full-record/WOS:000344317200023.
[109] Hu, Fei, Lin, Yu, Tang, Jijun. MLGO: phylogeny reconstruction and ancestral inference from gene-order data. BMC BIOINFORMATICS[J]. 2014, 第 3 作者  通讯作者  15(1): http://oa.las.ac.cn/oainone/service/browseall/read1?ptype=JA&workid=JA201706289182025ZK.
[110] Yin Zhaoming, Tang Jijun, Schaeffer Stephen W, Bader David A, Cai Z, Zelikovsky A, Bourgeois A. A Lin-Kernighan Heuristic for the DCJ Median Problem of Genomes with Unequal Contents. COMPUTING AND COMBINATORICS, COCOON 2014. 2014, 第 11 作者8591: 227-238, 
[111] Hu, Fei, Zhou, Jun, Zhou, Lingxi, Tang, Jijun. Probabilistic Reconstruction of Ancestral Gene Orders with Insertions and Deletions. IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS[J]. 2014, 第 4 作者11(4): 667-672, https://www.webofscience.com/wos/woscc/full-record/WOS:000340427500008.
[112] Qin, Tingting, Matmati, Nabil, Tsoi, Lam C, Mohanty, Bidyut K, Gao, Nan, Tang, Jijun, Lawson, Andrew B, Hannun, Yusuf A, Zheng, W Jim. Finding pathway-modulating genes from a novel Ontology Fingerprint-derived gene network. NUCLEIC ACIDS RESEARCH[J]. 2014, 第 6 作者42(18): e138-e138, https://www.webofscience.com/wos/woscc/full-record/WOS:000347687100002.
[113] Yang, Ning, Hu, Fei, Zhou, Lingxi, Tang, Jijun. Reconstruction of Ancestral Gene Orders Using Probabilistic and Gene Encoding Approaches. PLOS ONE[J]. 2014, 第 4 作者  通讯作者  9(10): https://doaj.org/article/ab196189b29c4cfe9bcbe34f36911022.
[114] Gao, Nan, Yang, Ning, Tang, Jijun. Ancestral Genome Inference Using a Genetic Algorithm Approach. PLOS ONE[J]. 2013, 第 3 作者  通讯作者  8(5): https://doaj.org/article/c2c0be99bb00465493e4b26e6db080dd.
[115] Lifu Song, Feng Geng, Zi-Yi Gong, Xin Chen, Jijun Tang, Chunye Gong, Libang Zhou, Rui Xia, Ming-Zhe Han, Jing-Yi Xu, Bing-Zhi Li, Ying-Jin Yuan. Robust data storage in DNA by de Bruijn graph-based de novo strand assembly. NATURE COMMUNICATIONS. 第 5 作者13(1): http://dx.doi.org/10.1038/s41467-022-33046-w.

科研活动

   
科研项目
( 1 ) 癌细胞基因组结构变异及进化的算法研究, 主持, 国家级, 2020-01--2023-12
( 2 ) 新蛋白质元件设计的智能算法研究, 主持, 国家级, 2020-11--2025-10