基本信息
唐继军  男  博导  中国科学院深圳先进技术研究院
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] 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, 9: https://doaj.org/article/58bd36ed7af444b0a12f3510f475179b.
[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, 38(6): 1716-1723, http://dx.doi.org/10.1093/bioinformatics/btac008.
[3] 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, 11(848): https://doaj.org/article/ce0af0d0c277435eb312125ebe45ed50.
[4] 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, 493: 91-105, http://dx.doi.org/10.1016/j.neucom.2022.04.068.
[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, 19(6): 3517-3529, http://dx.doi.org/10.1109/TCBB.2021.3107621.
[6] 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, 101: http://dx.doi.org/10.1016/j.compbiolchem.2022.107765.
[7] 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, 13(1): http://dx.doi.org/10.1038/s41467-022-33046-w.
[8] 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, [9] 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, 50(1): http://dx.doi.org/10.1093/nar/gkab877.
[10] 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, 19(5): 2760-2769, [11] 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, 23(1): http://dx.doi.org/10.1093/bib/bbab429.
[12] 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, 122: http://dx.doi.org/10.1016/j.asoc.2022.108840.
[13] 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, 23(2): http://dx.doi.org/10.1093/bib/bbab568.
[14] 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, 52(6): 6598-6612, http://dx.doi.org/10.1007/s10489-021-02737-0.
[15] 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, 23(2): http://dx.doi.org/10.1093/bib/bbab582.
[16] 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, 14(2): http://dx.doi.org/10.3390/cancers14020415.
[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, 17(1): 89-100, http://dx.doi.org/10.2174/1574893616666210727161003.
[18] 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, 16(2): 274-283, http://dx.doi.org/10.2174/1574893615999200607173829.
[19] Zhao, Mengyuan, He, Wenying, Tang, Jijun, Zou, Quan, Guo, Fei. A comprehensive overview and critical evaluation of gene regulatory network inference technologies. BRIEFINGS IN BIOINFORMATICSnull. 2021, 22(5): http://dx.doi.org/10.1093/bib/bbab009.
[20] 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, 16(2): 284-293, http://dx.doi.org/10.2174/1574893615999200614172536.
[21] 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, 22(SUPPL 10): http://dx.doi.org/10.1186/s12859-021-04404-0.
[22] 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, 4: 100123-, http://dx.doi.org/10.1016/j.chbr.2021.100123.
[23] 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, 22(3): http://dx.doi.org/10.1093/bib/bbaa159.
[24] 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, 18(5): 1831-1840, http://dx.doi.org/10.1109/TCBB.2020.2968419.
[25] 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, 39(2): 227-241, http://dx.doi.org/10.1177/0734282920951727.
[26] 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, 22(1): https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7811227/.
[27] 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, 113(6): 3864-3871, http://dx.doi.org/10.1016/j.ygeno.2021.09.016.
[28] 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, 112: http://dx.doi.org/10.1016/j.asoc.2021.107811.
[29] 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, http://gooa.las.ac.cn/external/index?type=-1&pid=1732785.
[30] Tang Jijun. Predicting MHC class I binder: existing approaches and a novel recurrent neural network solution. Briefings in Bioinformatics. 2021, [31] Ma, Shiqiang, Tang, Jijun, Guo, Fei. Multi-Task Deep Supervision on Attention R2U-Net for Brain Tumor Segmentation. FRONTIERS IN ONCOLOGY[J]. 2021, 11: http://dx.doi.org/10.3389/fonc.2021.704850.
[32] 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, 9: http://dx.doi.org/10.3389/fbioe.2021.697915.
[33] Yijie Ding, Jijun Tang, Fei Guo. Identification of drug-target interactions via multi-view graph regularized link propagation model. NEUROCOMPUTING. 2021, 461: 618-631, http://dx.doi.org/10.1016/j.neucom.2021.05.100.
[34] 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, 25(1): 209-217, http://dx.doi.org/10.1109/JBHI.2020.2983456.
[35] 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, 22(5): http://dx.doi.org/10.1093/bib/bbaa409.
[36] 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, 22(SUPPL 3): https://doaj.org/article/2936bbd6a81848848615311f5b7ae25f.
[37] 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, 33(17): 11387-11399, http://dx.doi.org/10.1007/s00521-020-05573-4.
[38] 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, 18(5): 1986-1995, http://dx.doi.org/10.1109/TCBB.2019.2954826.
[39] 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, 22(1): http://dx.doi.org/10.1186/s12864-021-07864-z.
[40] 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, http://gooa.las.ac.cn/external/index?type=-1&pid=1734083.
[41] 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, 22(6): http://dx.doi.org/10.1093/bib/bbab166.
[42] Ding, Yijie, Tang, Jijun, Guo, Fei. Identification of drug-target interactions via multi-view graph regularized link propagation model. NEUROCOMPUTING[J]. 2021, 461: 618-631, http://dx.doi.org/10.1016/j.neucom.2021.05.100.
[43] 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 GENOMICSnull. 2021, 20(5): 333-343, http://dx.doi.org/10.1093/bfgp/elab032.
[44] 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, 11: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7511763/.
[45] 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, 12(12): https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7761949/.
[46] Ding, Yijie, Tang, Jijun, Guo, Fei. The Computational Models of Drug-Target Interaction Prediction. PROTEIN AND PEPTIDE LETTERSnull. 2020, 27(5): 348-358, http://dx.doi.org/10.2174/0929866526666190410124110.
[47] Shen, Yinan, Ding, Yijie, Tang, Jijun, Zou, Quan, Guo, Fei. Critical evaluation of web-based prediction tools for human protein subcellular localization. BRIEFINGS IN BIOINFORMATICSnull. 2020, 21(5): 1628-1640, http://dx.doi.org/10.1093/bib/bbz106.
[48] 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, 60(3): 1876-1883, https://www.webofscience.com/wos/woscc/full-record/WOS:000526390800071.
[49] 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, 24(10): 3012-3019, http://dx.doi.org/10.1109/JBHI.2020.2977091.
[50] 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, 2(4): https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7556404/.
[51] Ding, Yijie, Tang, Jijun, Guo, Fei. Identification of drug-target interactions via fuzzy bipartite local model. NEURAL COMPUTING & APPLICATIONS[J]. 2020, 32(14): 10303-10319, http://dx.doi.org/10.1007/s00521-019-04569-z.
[52] 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, 383: 257-269, http://dx.doi.org/10.1016/j.neucom.2019.11.103.
[53] Pan, Gaofeng, Wang, Jiandong, Zhao, Liang, Hoskins, William, Tang, Jijun. Computational Methods for Predicting DNA Binding Proteins. CURRENT PROTEOMICSnull. 2020, 17(4): 258-270, https://www.webofscience.com/wos/woscc/full-record/WOS:000544321500002.
[54] 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, 2020: https://doaj.org/article/4835c8148759443992ecec8c2f6f2f81.
[55] 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, 89: http://dx.doi.org/10.1016/j.compbiolchem.2020.107369.
[56] 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, 204: http://dx.doi.org/10.1016/j.knosys.2020.106254.
[57] Ding, Yijie, Tang, Jijun, Guo, Fei. Human protein subcellular localization identification via fuzzy model on Kernelized Neighborhood Representation. APPLIED SOFT COMPUTING[J]. 2020, 96: http://dx.doi.org/10.1016/j.asoc.2020.106596.
[58] 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, 21(1): http://dx.doi.org/10.1186/s12859-020-03833-7.
[59] 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, 7: 13486-13496, https://doaj.org/article/090eddcab71949dd947992c28ade556a.
[60] Ding, Yijie, Tang, Jijun, Guo, Fei. Identification of drug-side effect association via multiple information integration with centered kernel alignment. NEUROCOMPUTING[J]. 2019, 325: 211-224, http://dx.doi.org/10.1016/j.neucom.2018.10.028.
[61] 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, 10: https://doaj.org/article/507bd81b57bd448e98510f634d46dce6.
[62] 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, 13: https://doaj.org/article/a5e3918789634056bd51ef5822f402f4.
[63] 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, 16(2): 694-699, https://www.webofscience.com/wos/woscc/full-record/WOS:000469284500032.
[64] 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, 9: https://doaj.org/article/878cadea3cef4abf9638a2764d1159c7.
[65] 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, 462: 230-239, http://dx.doi.org/10.1016/j.jtbi.2018.11.012.
[66] 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, 20(S15): 1-11, http://dx.doi.org/10.1186/s12859-019-3048-2.
[67] 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 GENOMICSnull. 2019, 20: [68] 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, 20(1): 1-17, http://dx.doi.org/10.1186/s12864-019-5654-9.
[69] 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, 117: 212-217, http://dx.doi.org/10.1016/j.jpdc.2017.08.009.
[70] Zhang, Zehua, Tang, Jijun, Guo, Fei. Complex Detection in PPI Network Using Genes Expression Information. CURRENT PROTEOMICS[J]. 2018, 15(2): 119-127, https://www.webofscience.com/wos/woscc/full-record/WOS:000427494700005.
[71] 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, 12(S4): https://doaj.org/article/bb6cd641ffca4471918cc306be1b9f80.
[72] 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, 19(S10): https://doaj.org/article/6f3868c763d049d4a5e20a27b9c70327.
[73] 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, 25(3): 302-312, https://www.webofscience.com/wos/woscc/full-record/WOS:000429742800005.
[74] 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, 84: 103-113, http://dx.doi.org/10.1016/j.chb.2018.02.032.
[75] Jiang, Limin, Ding, Yijie, Tang, Jijun, Guo, Fei. MDA-SKF: Similarity Kernel Fusion for Accurately Discovering miRNA-Disease Association. FRONTIERS IN GENETICS[J]. 2018, 9: https://doaj.org/article/31080b79a6364147a626233e514f7181.
[76] 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, 11(S5): https://doaj.org/article/d43044b5a7c940dbaa1e1bbb3ea5aefc.
[77] 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, 19(2): http://dx.doi.org/10.3390/ijms19020511.
[78] Song, Jian, Tang, Jijun, Guo, Fei. Identification of Inhibitors of MMPS Enzymes via a Novel Computational Approach. INTERNATIONAL JOURNAL OF BIOLOGICAL SCIENCES[J]. 2018, 14(8): 863-871, https://www.webofscience.com/wos/woscc/full-record/WOS:000433262600007.
[79] 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, 9(1): https://doaj.org/article/5c053d03b3514bb6984fc7751445c963.
[80] Zhang, Zehua, Guo, Kecheng, Pan, Gaofeng, Tang, Jijun, Guo, Fei. Improvement of phylogenetic method to analyze compositional heterogeneity. BMCSYSTEMSBIOLOGY[J]. 2017, 11(Suppl 4): http://dx.doi.org/10.1186/s12918-017-0453-x.
[81] 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, 18(8): https://doaj.org/article/213cf5395dc244ae9dd41127acae31c2.
[82] 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, 12(9): http://dx.doi.org/10.1371/journal.pone.0185587.
[83] Chen, QingYun, Tang, Jijun, Du, PuFeng. Predicting protein lysine phosphoglycerylation sites by hybridizing many sequence based features. MOLECULAR BIOSYSTEMS[J]. 2017, 13(5): 874-882, http://dx.doi.org/10.1039/c6mb00875e.
[84] 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)null. 2017, 347-352, [85] 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)null. 2017, 92-96, [86] 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, 16(4): 240-247, http://dx.doi.org/10.1109/TNB.2017.2661756.
[87] Wei, Leyi, Tang, Jijun, Zou, Quan. Local-DPP: An improved DNA-binding protein prediction method by exploring local evolutionary information. INFORMATION SCIENCES[J]. 2017, 384: 135-144, http://dx.doi.org/10.1016/j.ins.2016.06.026.
[88] 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, 2(8): https://www.webofscience.com/wos/woscc/full-record/WOS:000410619800010.
[89] 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, 57(12): 3149-3161, https://www.webofscience.com/wos/woscc/full-record/WOS:000418879100021.
[90] Wei, Leyi, Tang, Jijun, Zou, Quan. SkipCPP-Pred: an improved and promising sequence-based predictor for predicting cell-penetrating peptides. BMC GENOMICS[J]. 2017, 18(Suppl 7): 1-11, http://dx.doi.org/10.1186/s12864-017-4128-1.
[91] Lei, GuoCheng, Tang, Jijun, Du, PuFeng. Predicting S-sulfenylation Sites Using Physicochemical Properties Differences. LETTERS IN ORGANIC CHEMISTRY[J]. 2017, 14(9): 665-672, http://dx.doi.org/10.2174/1570178614666170421164731.
[92] Ding, Yijie, Tang, Jijun, Guo, Fei. Identification of drug-target interactions via multiple information integration. INFORMATION SCIENCES[J]. 2017, 418: 546-560, http://dx.doi.org/10.1016/j.ins.2017.08.045.
[93] Zhou, Lingxi, Lin, Yu, Feng, Bing, Zhao, Jieyi, Tang, Jijun. Phylogeny analysis from gene-order data with massive duplications. BMC GENOMICS[J]. 2017, 18(Suppl 7): 13-20, http://dx.doi.org/10.1186/s12864-017-4129-0.
[94] 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, 32(4): 1165-1181, https://www.webofscience.com/wos/woscc/full-record/WOS:000387107700011.
[95] Li, Zhao, Tang, Jijun, Guo, Fei. Learning from real imbalanced data of 14-3-3 proteins binding specificity. NEUROCOMPUTING[J]. 2016, 217: 83-91, http://dx.doi.org/10.1016/j.neucom.2016.03.093.
[96] 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, 17(10): https://doaj.org/article/d4157278ef7a48d7978ed8d4c89f2a35.
[97] Ding, Yijie, Tang, Jijun, Guo, Fei. Predicting protein-protein interactions via multivariate mutual information of protein sequences. BMC BIOINFORMATICS[J]. 2016, 17(1): http://dx.doi.org/10.1186/s12859-016-1253-9.
[98] 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, 11(2): https://doaj.org/article/e2f3bc3cac294706a1313e7fb2a2d75f.
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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