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] 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.
[2] 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, https://www.webofscience.com/wos/woscc/full-record/WOS:000636227100011.
[3] 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.
[4] 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.
[5] 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/.
[6] Tang Jijun. Predicting MHC class I binder: existing approaches and a novel recurrent neural network solution. Briefings in Bioinformatics. 2021, [7] Qian, Yuqing, Jiang, Limin, Ding, Yijie, Tang, Jijun, Guo, Fei. A sequence-based multiple kernel model for identifying DNA-binding proteins. BMC BIOINFORMATICS. 2021, 22(SUPPL 3): https://doaj.org/article/2936bbd6a81848848615311f5b7ae25f.
[8] 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.
[9] 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, https://www.webofscience.com/wos/woscc/full-record/WOS:000589633900010.
[10] 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, https://www.webofscience.com/wos/woscc/full-record/WOS:000576429900030.
[11] 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.
[12] 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.
[13] 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.
[14] 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.
[15] 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.
[16] 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.
[17] 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.
[18] 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.
[19] 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.
[20] 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.
[21] 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.
[22] 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.
[23] Guo, Fei, Zou, Quan, Yang, Guang, Wang, Dan, Tang, Jijun, Xu, Junhai. Identifying protein-protein interface via a novel multi-scale local sequence and structural representation. BMC BIOINFORMATICS[J]. 2019, 20(S15): http://dx.doi.org/10.1186/s12859-019-3048-2.
[24] 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: [25] Jiang, Limin, Wang, Chongqing, Tang, Jijun, Guo, Fei. 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.
[26] 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.
[27] 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.
[28] 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.
[29] 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.
[30] 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.
[31] 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.
[32] 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.
[33] 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.
[34] 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): https://doaj.org/article/7e3ade4ee29248b496e8601f030a3a5e.
[35] 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.
[36] Yan Zhang, Lin An, Jie Xu, Bo Zhang, W Jim Zheng, Ming Hu, Jijun Tang, Feng Yue. Enhancing Hi-C data resolution with deep convolutional neural network HiCPlus. NATURE COMMUNICATIONS[J]. 2018, 9(1): https://doaj.org/article/012ed1654d0849598dc133a9d70d18e5.
[37] Zhang, Zehua, Guo, Kecheng, Pan, Gaofeng, Tang, Jijun, Guo, Fei. Improvement of phylogenetic method to analyze compositional heterogeneity. BMC SYSTEMS BIOLOGY[J]. 2017, 11(Suppl 4): http://dx.doi.org/10.1186/s12918-017-0453-x.
[38] 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.
[39] 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): https://doaj.org/article/f112a2f36bbb40ecad722e74145c2a54.
[40] 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, https://www.webofscience.com/wos/woscc/full-record/WOS:000400659600006.
[41] 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, [42] 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, [43] 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, https://www.webofscience.com/wos/woscc/full-record/WOS:000407077800001.
[44] 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.
[45] 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.
[46] 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.
[47] 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.
[48] 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.
[49] Lei, GuoCheng, Tang, Jijun, Du, PuFeng. Predicting S-sulfenylation Sites Using Physicochemical Properties Differences. LETTERS IN ORGANIC CHEMISTRY[J]. 2017, 14(9): 665-672, https://www.webofscience.com/wos/woscc/full-record/WOS:000412055600008.
[50] 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.
[51] 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.
[52] 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.
[53] 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.
[54] 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.
[55] 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.
[56] 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, 32(7): 901-911, [57] Tang, Jijun, Tian, Lu, Chen, YiPing Phoebe. Guest Editorial for the 14th Asia Pacific Bioinformatics Conference (APBC2016). COMPUTATIONAL BIOLOGY AND CHEMISTRYnull. 2016, 63: 1-2, http://dx.doi.org/10.1016/j.compbiolchem.2016.03.007.
[58] 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 2016null. 2016, 9683: 345-346, [59] 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, 10(Suppl 4): http://dx.doi.org/10.1186/s12918-016-0353-5.
[60] 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, 55(9): 2042-2049, https://www.webofscience.com/wos/woscc/full-record/WOS:000362056900023.
[61] 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, 12(6): 1248-1254, https://www.webofscience.com/wos/woscc/full-record/WOS:000368292400005.
[62] 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)null. 2015, 9289: 108-120, [63] Shepherd, Jeremiah J, Zhou, Lingxi, Arndt, William, Zhang, Yan, Zheng, W Jim, Tang, Jijun. Exploring genomes with a game engine. FARADAY DISCUSSIONS[J]. 2014, 169: 443-453, https://www.webofscience.com/wos/woscc/full-record/WOS:000344317200023.
[64] Hu, Fei, Lin, Yu, Tang, Jijun. MLGO: phylogeny reconstruction and ancestral inference from gene-order data. BMC BIOINFORMATICS[J]. 2014, 15(1): http://dx.doi.org/10.1186/s12859-014-0354-6.
[65] 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 2014null. 2014, 8591: 227-238, [66] 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, 11(4): 667-672, https://www.webofscience.com/wos/woscc/full-record/WOS:000340427500008.
[67] 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, 42(18): e138-e138, https://www.webofscience.com/wos/woscc/full-record/WOS:000347687100002.
[68] Yang, Ning, Hu, Fei, Zhou, Lingxi, Tang, Jijun. Reconstruction of Ancestral Gene Orders Using Probabilistic and Gene Encoding Approaches. PLOS ONE[J]. 2014, 9(10): https://doaj.org/article/ab196189b29c4cfe9bcbe34f36911022.
[69] Gao, Nan, Yang, Ning, Tang, Jijun. Ancestral Genome Inference Using a Genetic Algorithm Approach. PLOS ONE[J]. 2013, 8(5): https://doaj.org/article/c2c0be99bb00465493e4b26e6db080dd.

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