陈兴Xing Chen

教授

教授 博士生导师 硕士生导师

电子邮箱:

所在单位:人工智能研究院

职务:中国矿业大学人工智能研究院副院长

办公地点:中国矿业大学文昌校区科创1号楼8楼801室

主要任职:中国矿业大学人工智能研究院副院长,中国矿业大学人工智能研究院大数据研究中心主任,中国矿业大学生物信息研究所所长

其他任职:中国矿业大学校学术委员会委员,中国矿业大学交叉学科学术分委员会委员,中国矿业大学人工智能交叉学科研究生培养工作指导委员会委员,江苏省生物信息学学会副理事长,中国工业与应用数学学会数学生命科学专业委员会秘书长,中国计算机学会生物信息学专业委员会委员,中国人工智能学会青年工作委员会委员,中国自动化学会智能健康与生物信息专业委员会委员,Briefings in Bioinformatics(影响因子13.994)杂志执行编辑,六家SCI杂志副主编,十二家SCI杂志编委,PLoS Computational Biology杂志特约副主编,七家SCI杂志首席特约编委,十八家国际会议程序委员会成员

科学研究

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学术论文

    部分代表性论文

    2022

    Ø Li Huang, Li Zhang, Xing Chen*. Updated review of advances in microRNAs and complex diseases: taxonomy, trends and challenges of computational models. Briefings in Bioinformatics. 2022 23(5): bbac358 (SCI, IF: 13.994).

    Ø Li Huang, Li Zhang, Xing Chen*. Updated review of advances in microRNAs and complex diseases: experimental results, databases, webservers and data fusion. Briefings in Bioinformatics. 2022 Advance Access (SCI, IF: 13.994).

    Ø Li Huang, Li Zhang, Xing Chen*. Updated review of advances in microRNAs and complex diseases: towards systematic evaluation of computational models. Briefings in Bioinformatics. 2022 Advance Access (SCI, IF: 13.994).

    Ø Chun-Chun Wang#, Chi-Chi Zhu#, Xing Chen*. Ensemble of kernel ridge regression-based small molecule–miRNA association prediction in human disease. Briefings in Bioinformatics. 2022 23(1): bbab431 (SCI, IF: 13.994).

    Ø  Shu-Hao Wang, Chun-Chun Wang, Li Huang, Lian-Ying Miao, Xing Chen*. Dual-Network Collaborative Matrix Factorization for predicting small molecule-miRNA associations. Briefings in Bioinformatics. 2022 23(1): bbab500 (SCI, IF: 13.994).

    Ø  Chun-Chun Wang, Tian-Hao Li, Li Huang, Xing Chen*. Prediction of potential miRNA–disease associations based on stacked autoencoder. Briefings in Bioinformatics. 2022 23(2):bbac021 (SCI, IF: 13.994).

    2021

    Ø  Xing Chen*, Lian-Gang Sun, Yan Zhao. NCMCMDA: miRNA–disease association prediction through neighborhood constraint matrix completion. Briefings in Bioinformatics. 2021 22(1):485-496 (SCI, IF: 13.994, cited 63 times, ESI highly cited paper).

    Ø  Xing Chen*, Tian-Hao Li, Yan Zhao, Chun-Chun Wang, Chi-Chi Zhu. Deep-belief network for predicting potential miRNA-disease associations. Briefings in Bioinformatics. 2021 22(3): bbaa186 (SCI, IF: 13.994, cited 27 times).

    Ø  Xing Chen*, Chi Zhou, Chun-Chun Wang, Yan Zhao. Predicting potential small molecule–miRNA associations based on bounded nuclear norm regularization. Briefings in Bioinformatics. 2021 22(6): bbab328 (SCI, IF: 13.994).

    Ø  Yan Zhao, Chun-Chun Wang, Xing Chen*. Microbes and complex diseases: from experimental results to computational models. Briefings in Bioinformatics. 2021 22(3): bbaa158 (SCI, IF: 13.994, cited 13 times).

    Ø  Chun-Chun Wang, Yan Zhao, Xing Chen*. Drug-pathway association prediction: from experimental results to computational models. Briefings in Bioinformatics. 2021 22(3): bbaa061 (SCI, IF: 13.994, cited 11 times).

    Ø  Chun-Chun Wang, Chen-Di Han, Qi Zhao*, Xing Chen*. Circular RNAs and complex diseases: from experimental results to computational models. Briefings in Bioinformatics. 2021 22(6): bbab286 (SCI, IF: 13.994, cited 23 times).

    Ø  Chi-Chi Zhu#, Chun-Chun Wang#, Yan Zhao, Ming-Cheng Zuo, Xing Chen*. Identification of miRNA–disease associations via multiple information integration with Bayesian ranking. Briefings in Bioinformatics. 2021 22(6): bbab302 (SCI, IF: 13.994).

    2020

    Ø  Xing Chen*, Na-Na Guan, Ya-Zhou Sun, Jian-Qiang Li*, Jia Qu. MicroRNA-small molecule association identification: from experimental results to computational models. Briefings in Bioinformatics. 2020 21(1): 47-61 (SCI, IF: 13.994, cited 84 times, ESI highly cited paper, the 20 most-cited articles from 2019 and 2020 in Briefings in Bioinformatics).

    Ø  Yan Zhao, Xing Chen*, Jun Yin, Jia Qu. SNMFSMMA: using symmetric nonnegative matrix factorization and Kronecker regularized least squares to predict potential small molecule-microRNA association. RNA Biology. 2020 17(2): 281-291 (SCI, IF: 4.766, cited 25 times).

    Ø  Xing Chen*, Shao-Xin Li, Jun Yin, Chun-Chun Wang. Potential miRNA-disease association prediction based on kernelized Bayesian matrix factorization. Genomics. 2020 112(1): 809-819 (SCI, IF: 4.310, cited 23 times).

    Ø  Xing Chen*, Hongsheng Liu, Qi Zhao*. Editorial: Bioinformatics in Microbiota. Frontiers in Microbiology. 2020 11: 100 (SCI, IF: 6.064).

    Ø  Xing Chen*, Chun-Chun Wang, Na-Na Guan. Computational Models in Non-Coding RNA and Human Disease. International Journal of Molecular Sciences. 2020 21(5):1557 (SCI, IF: 6.208).

    Ø  Li-Hong Peng, Li-Qian Zhou*, Xing Chen*, Xue Piao*. A computational study of potential miRNA-disease association inference based on ensemble learning and kernel ridge regression. Frontiers in Bioengineering and Biotechnology. 2020 8:40 (SCI, IF: 6.064, cited 16 times).

    2019

    Ø  Xing Chen*, Di Xie, Qi Zhao, Zhu-Hong You. MicroRNAs and complex diseases: from experimental results to computational models. Briefings in Bioinformatics. 2019 20(2):515-539 (SCI, IF: 13.994, cited 341 times, ESI highly cited paper, the 20 most-cited articles from 2019 and 2020 in Briefings in Bioinformatics).

    Ø  Xing Chen*, Ya-Zhou Sun, Hui Liu, Lin Zhang*, Jian-Qiang Li*, Jia Meng. RNA methylation and diseases: experimental results, databases, web servers and computational models. Briefings in Bioinformatics. 2019 20(3):896-917 (SCI, IF: 13.994, cited 47 times).

    Ø  Xing Chen*, Chi-Chi Zhu, Jun Yin. Ensemble of decision tree reveals potential miRNA-disease associations. PLoS Computational Biology. 2019 15(7): e1007209 (SCI, IF: 4.779, cited 97 times).

    Ø  Yan Zhao, Xing Chen*, Jun Yin. Adaptive boosting-based computational model for predicting potential miRNA-disease associations. Bioinformatics. 2019 35(22): 4730-4738 (SCI, IF: 6.931, cited 83 times).

    Ø  Lei Wang#, Zhuhong You#,*, Xing Chen*, Yang-Ming Li, Ya-Nan Dong, Li-Ping Li, Kai Zheng. LMTRDA: Using logistic model tree to predict MiRNA-disease associations by fusing multi-source information of sequences and similarities. PLoS Computational Biology. 2019 15(3):e1006865 (SCI, IF: 4.779, cited 81 times).

    Ø  Jia Qu, Xing Chen*, Ya-Zhou Sun, Yan Zhao, Shu-Bin Cai, Zhong Ming*, Zhu-Hong You*, Jian-Qiang Li. In Silico Prediction of Small Molecule-miRNA Associations Based on the HeteSim Algorithm. Molecular Therapy-Nucleic Acids. 2019 14:274-286 (SCI, IF: 10.183, cited 35 times).

    Ø  Na-Na Guan, Yan Zhao, Chun-Chun Wang, Jian-Qiang Li*, Xing Chen*, Xue Piao*. Anticancer Drug Response Prediction in Cell Lines Using Weighted Graph Regularized Matrix Factorization. Molecular Therapy-Nucleic Acids 2019 17:164-174 (SCI, IF: 10.183, cited 33 times).

    Ø  Xing Chen*, Ya-Zhou Sun, Na-Na Guan, Jia Qu, Zhi-An Huang, Ze-Xuan Zhu, Jian-Qiang Li. Computational models for lncRNA function prediction and functional similarity calculation. Briefings in Functional Genomics. 2019 18(1):58-82 (SCI, IF: 4.840, cited 96 times).

    Ø  Chun-Chun Wang, Xing Chen*, Jun Yin, Jia Qu. An integrated framework for the identification of potential miRNA-disease association based on novel negative samples extraction strategy. RNA Biology. 2019 16(3):257-269 (SCI, IF: 4.766, cited 22 times).

    Ø  Jia Qu, Xing Chen*, Jun Yin, Yan Zhao, Zheng-Wei Li. Prediction of potential miRNA-disease associations using matrix decomposition and label propagation. Knowledge-Based Systems. 2019 186:104963 (SCI, IF: 8.139, cited 14 times).

    Ø  Li Zhang, Xing Chen*, Jun Yin. Prediction of Potential miRNA–Disease Associations Through a Novel Unsupervised Deep Learning Framework with Variational Autoencoder. Cells. 2019 8(9):1040 (SCI, IF: 7.666, cited 24 times).

    Ø  Jun Yin, Xing Chen*, Chun-Chun Wang, Yan Zhao, Ya-Zhou Sun. Prediction of small molecule-microRNA associations by sparse learning and heterogeneous graph inference. Molecular Pharmaceutics. 2019 16(7):3157-3166 (SCI, IF: 5.364, cited 35 times).

    Ø  Chun-Chun Wang, Xing Chen*, Jia Qu, Ya-Zhou Sun, Jian-Qiang Li. RFSMMA: A New Computational Model to Identify and Prioritize Potential Small Molecule-MiRNA Associations. Journal of Chemical Information and Modeling. 2019 59(4):1668-1679 (SCI, IF: 6.162, cited 23 times).

    Ø  Chun-Chun Wang, Xing Chen*. A Unified Framework for the Prediction of Small Molecule-MicroRNA Association Based on Cross-Layer Dependency Inference on Multilayered Networks. Journal of Chemical Information and Modeling. 2019 59(12):5281-5293 (SCI, IF: 6.162, cited 11 times).

    Ø  Ya-Wei Niu, Guang-Hui Wang*, Gui-Ying Yan, Xing Chen*. Integrating random walk and binary regression to identify novel miRNA-disease association. BMC Bioinformatics. 2019 20:59 (SCI, IF: 3.307, cited 22 times).

    2018

    Ø  Xing Chen*, Lei Wang, Jia Qu, Na-Na Guan, Jian-Qiang Li. Predicting miRNA-disease association based on inductive matrix completion. Bioinformatics. 2018 34(24): 4256-4265 (SCI, IF: 6.931, cited 306 times, ESI highly cited paper).

    Ø  Xing Chen*, Di Xie, Lei Wang, Qi Zhao*, Zhu-Hong You, Hong-Sheng Liu. BNPMDA: Bipartite Network Projection for MiRNA-Disease Association prediction. Bioinformatics. 2018 34(18): 3178-3186 (SCI, IF: 6.931, cited 224 times, ESI highly cited paper).

    Ø  Xing Chen*, Jun Yin, Jia Qu, Li Huang. MDHGI: Matrix Decomposition and Heterogeneous Graph Inference for miRNA-disease association prediction. PLoS Computational Biology. 2018 14(8): e1006418 (SCI, IF: 4.779, cited 211 times, ESI highly cited paper).

    Ø  Xing Chen#,*, Li Huang#, Di Xie, Qi Zhao. EGBMMDA: Extreme Gradient Boosting Machine for MiRNA-Disease Association prediction. Cell Death & Disease. 2018 9: 3 (SCI, IF: 9.685, cited 187 times, The Best of Cell Death & Disease 2018-2019).

    Ø  Hui Liu#, Huaizhi Wang#, Zhen Wei#, Songyao Zhang, Gang Hua, Shao-Wu Zhang, Lin Zhang, Shou-Jiang Gao, Jia Meng*, Xing Chen*, Yufei Huang*. MeT-DB V2.0: elucidating context-specific functions of N6-methyl-adenosine methyltranscriptome. Nucleic Acids Research. 2018 46(Database issue): D281-D287 (SCI, IF: 19.160, cited 85 times)

    Ø  Xing Chen#,*, Zhihan Zhou#, Jun Yin. Predicting microRNA-disease associations using bipartite local models and hubness-aware regression. RNA Biology. 2018 15(9): 1192-1205 (SCI, IF: 4.766, cited 26 times).

    Ø  Xing Chen#,*, Jun-Yan Cheng#, Yan Zhao. ELLPMDA: Ensemble learning and link prediction for miRNA-disease association prediction. RNA Biology. 2018 15(6): 807-818 (SCI, IF: 4.766, cited 55 times).

    Ø  Xing Chen*, Chun-Chun Wang, Jun Yin, Zhu-Hong You*. Novel Human miRNA-Disease Association Inference Based on Random Forest. Molecular Therapy-Nucleic Acids. 2018 13:568-579 (SCI, IF: 10.183, cited 64 times).

    Ø  Jia Qu, Xing Chen* Ya-Zhou Sun, Jian-Qiang Li, Zhong Ming. Inferring potential small molecule-miRNA association based on triple layer heterogeneous network. Journal of Cheminformatics. 2018 10:30 (SCI, IF: 8.489, cited 49 times).

    Ø  Hui Liu, Yan Zhao, Lin Zhang, Xing Chen*. Anti-cancer drug response prediction using neighbor-based collaborative filtering with global effect removal. Molecular Therapy-Nucleic Acids. 2018 13:303-311 (SCI, IF: 10.183, cited 40 times).

    Ø  Xing Chen*, De-Hong Zhang, Zhu-Hong You*. A heterogeneous label propagation approach to explore the potential associations between miRNA and disease. Journal of Translational Medicine. 2018 16:348 (SCI, IF: 8.440, cited 40 times) .

    Ø  Xing Chen*, Na-Na Guan, Jian-Qiang Li*, Gui-Ying Yan. GIMDA: Graphlet Interaction-based MiRNA-Disease Association prediction. Journal of Cellular and Molecular Medicine. 2018 22(3):1548-1561 (SCI, IF: 5.295, cited 28 times) .

    Ø  Xing Chen#,*, Yao Gong#, De-Hong Zhang, Zhu-Hong You, Zheng-Wei Li. DRMDA: deep representations-based miRNA–disease association prediction. Journal of Cellular and Molecular Medicine. 2018 22(1): 472-485 (SCI, IF: 5.295, cited 58 times) .

    Ø  Xing Chen#,*, Le-Yi Wang#, Li Huang. NDAMDA: Network distance analysis for MiRNA-disease association prediction. Journal of Cellular and Molecular Medicine. 2018 22(5): 2884-2895 (SCI, IF: 5.295, cited 25 times) .

    Ø  Lin Zhang, Xing Chen*, Na-Na Guan, Hui Liu and Jian-Qiang Li. A hybrid interpolation weighted collaborative filtering method for anti-cancer drug response prediction. Frontiers in Pharmacology. 2018 9:1017 (SCI, IF: 5.988, cited 28 times).

    Ø  Na-Na Guan, Ya-Zhou Sun, Zhong Ming, Jian-Qiang Li*, Xing Chen*. Prediction of Potential Small Molecule-Associated MicroRNAs Using Graphlet Interaction. Frontiers in Pharmacology. 2018 9:1152 (SCI, IF: 5.988, cited 17 times).

    Ø  Dongqing Guo, Colin E. Murdoch, Tianhua Liu, Jia Qu, Shihong Jiao, Yong Wang*, Wei Wang*, Xing Chen*. Therapeutic Angiogenesis of Chinese Herbal Medicines in Ischemic Heart Disease: A Review. Frontiers in Pharmacology. 2018 9:428 (SCI, IF: 5.988, cited 31 times).

    Ø  Ya-Zhou Sun, De-Hong Zhang, Shu-Bin Cai, Zhong Ming*, Jian-Qiang Li*, Xing Chen*. MDAD: a special resource for microbe-drug associations. Frontiers in Cellular and Infection Microbiology. 2018 8:424 (SCI, IF: 6.073, cited 32 times).

    Ø Xing Chen*, Jing-Ru Yang, Na-Na Guan, Jian-Qiang Li. GRMDA: Graph Regression for MiRNA-Disease Association Prediction. Frontiers in Physiology. 2018 9: 92 (SCI, IF: 4.755, cited 19 times).

    Ø  Yan Zhao, Xing Chen*, Jun Yin. A novel computational method for the identification of potential miRNA-disease association based on symmetric non-negative matrix factorization and Kronecker regularized least square. Frontiers in Genetics. 2018 9:324 (SCI, IF: 4.772, cited 25 times).

    Ø  Xing Chen*, Jia Qu, Jun Yin. TLHNMDA: Triple Layer Heterogeneous Network based inference for MiRNA-Disease Association prediction. Frontiers in Genetics. 2018 9:234 (SCI, IF: 4.772, cited 20 times).

    2017

    Ø  Xing Chen#,*, Chenggang Clarence Yan#, Xu Zhang#, Zhu-Hong You*. Long non-coding RNAs and complex diseases: from experimental results to computational models. Briefings in Bioinformatics. 2017 18(4):558-576 (SCI, IF: 13.994, cited 440 times, ESI highly cited paper).

    Ø  Zhuhong You#, Zhi-An Huang#, Ze-Xuan Zhu*, Gui-Ying Yan, Zheng-Wei Li, Zhenkun Wen, Xing Chen*. PBMDA: A novel and effective path-based computational model for miRNA-disease association prediction. PLoS Computational Biology. 2017 13(3): e1005455 (SCI, IF: 4.779, cited 297 times, ESI highly cited paper).

    Ø  Xing Chen#,*, Yu-An Huang#, Zhu-Hong You*, Gui-Ying Yan, Xue-Song Wang*. A Novel Approach based on KATZ measure to Predict Associations of Human Microbiota with Non-Infectious Diseases. Bioinformatics. 2017 33(5):733-739 (SCI, IF: 6.931, cited 170 times)

    Ø  Xing Chen#,*, Li Huang#. LRSSLMDA: Laplacian Regularized Sparse Subspace Learning for MiRNA-Disease Association prediction. PLoS Computational Biology. 2017 13(12): e1005912 (SCI, IF: 4.779, cited 189 times, ESI highly cited paper).

    Ø  Xing Chen#,*, Qiaofeng Wu#, Gui-Ying Yan. RKNNMDA: Ranking-based KNN for MiRNA-Disease Association prediction. RNA Biology. 2017 14(7): 952-962 (SCI, IF: 4.766, cited 121 times).

    Ø  Jian-Qiang Li, Zhu-Hong You*, Xiao Li, Ming Zhong, Xing Chen*. PSPEL: In Silico Prediction of Self-interacting Proteins from Amino Acids Sequences using Ensemble Learning. IEEE-ACM Transactions on Computational Biology and Bioinformatics. 2017 14(5):1165-1172 (SCI, IF: 3.702, cited 48 times).

    Ø  Xing Chen*, Ya-Wei Niu, Guang-Hui Wang*, Gui-Ying Yan. MKRMDA: multiple kernel learning-based Kronecker regularized least squares for MiRNA–disease association prediction. Journal of Translational Medicine. 2017 15:251 (SCI, IF: 8.440, cited 37 times).

    Ø  Xing Chen*, Ya-Wei Niu, Guang-Hui Wang*, Gui-Ying Yan. HAMDA: Hybrid Approach for MiRNA-Disease Association prediction. Journal of Biomedical Informatics. 2017 76(2017): 50-58 (SCI, IF:8.000, cited 43 times).

    Ø  Zhi-An Huang#, Xing Chen#,*, Ze-Xuan Zhu*, Hongsheng Liu, Gui-Ying Yan, Zhu-Hong You, Zhenkun Wen. PBHMDA: Path-Based Human Microbe-Disease Association prediction. Frontiers in Microbiology. 2017 8:233 (SCI, IF: 6.064, cited 65 times) .

    Ø  Yu-An Huang, ZhuHong You*, Xing Chen*, Zhi-An Huang, Shanwen Zhang, Gui-Ying Yan. Prediction of microbe–disease association from the integration of neighbor and graph with collaborative recommendation model. Journal of Translational Medicine. 2017 15:209 (SCI, IF: 8.440, cited 65 times).

    Ø Xing Chen*, Ya-Zhou Sun, De-Hong Zhang, Jian-Qiang Li*, Gui-Ying Yan, Ji-Yong An, Zhu-Hong You. NRDTD: a database for clinically or experimentally supported non-coding RNAs and drug targets associations. Database. 2017 2017: bax057 (SCI, IF: 4.462, cited 39 times).

    Ø Ya-Zhou Sun, De-Hong Zhang, Zhong Ming, Jian-Qiang Li*, Xing Chen*. DLREFD: a database providing associations of long non-coding RNAs, environmental factors and phenotypes. Database. 2017 2017:bax084 (SCI, IF: 4.462).


    2016

    Ø  Xing Chen#,* Chenggang Clarence Yan#, Xiaotian Zhang, Xu Zhang, Feng Dai, Jian Yin, Yongdong Zhang. Drug–target interaction prediction: databases, web servers and computational models. Briefings in Bioinformatics. 2016 17(4):696-712 (SCI, IF: 13.994, cited 399 times, ESI highly cited paper)

    Ø  Xing Chen#, Biao Ren#, Ming Chen, Quanxin Wang, lixin Zhang*, Guiying Yan*. NLLSS: Predicting Synergistic Drug Combinations based on semi-supervised learning. PLoS Computational Biology. 2016 12(7): e1004975 (SCI, IF: 4.779, cited 202 times)

    Ø  Xing Chen#,*, Chenggang Clarence Yan#, Xu Zhang, Zhu-Hong You, Lixi Deng, Ying Liu*, Yongdong Zhang, Qionghai Dai. WBSMDA: Within and Between Score for MiRNA-Disease Association prediction. Scientific Reports. 2016 6:21106 (SCI, IF: 4.996, cited 286 times).

    Ø  Xing Chen#,*, Chenggang Clarence Yan#, Xu Zhang, Zhu-Hong You, Yu-An Huang, Gui-Ying Yan*. HGIMDA: Heterogeneous Graph Inference for MiRNA-Disease Association prediction. Oncotarget. 2016 7(40): 65257-65269 (SCI, cited 191 times).

    Ø  Yu-An Huang#, Zhu-Hong You#,*, Xing Chen*, Keith Chan, Xin Luo. Sequence-based Prediction of Protein-Protein Interactions Using Weighted Sparse Representation Model Combined with Global Encoding. BMC Bioinformatics. 2016 17:184 (SCI, IF: 3.307, cited 126 times).

    Ø  Zheng-Wei Li#, Zhu-Hong You#, *, Xing Chen*, Jie Gui, Ru Nie. Highly Accurate Prediction of Protein-Protein Interactions via Incorporating Evolutionary Information and Physicochemical Characteristics. International Journal of Molecular Sciences. 2016 17(9): 1396 (SCI, IF: 6.208, cited 32 times).

    2015

    Ø  Xing Chen*. Predicting lncRNA-disease associations and constructing lncRNA functional similarity network based on the information of miRNA. Scientific Reports. 2015 5:13186 (SCI, IF: 4.996, cited 183 times)

    Ø  Xing Chen#,*, Chenggang Clarence Yan#, Xiaotian Zhang, Zhaohui Li, Lixi Deng, Yongdong Zhang, Qionghai Dai. RBMMMDA: predicting multiple types of disease-microRNA associations. Scientific Reports. 2015 5: 13877 (SCI, IF: 4.996, cited 151 times).

    Ø  Xing Chen#,*, Chenggang Clarence Yan#, Cai Luo, Wen Ji, Yongdong Zhang, Qionghai Dai. Constructing lncRNA functional similarity network based on lncRNA-disease associations and disease semantic similarity. Scientific Reports. 2015 5:11338 (SCI, IF: 4.996, cited 162 times)

    Ø  Xing Chen*. KATZLDA: KATZ measure for the lncRNA-disease association prediction. Scientific Reports. 2015 5:16840 (SCI, IF: 4.996, cited 177 times)

    2014

    Ø  Xing Chen* and Gui-ying Yan*. Semi-supervised learning for potential human microRNA-disease associations inference. Scientific Reports. 2014 4:5501 (SCI, IF: 4.996, cited 310 times)

    2013

    Ø  Xing Chen* and Gui-ying Yan*. Novel human lncRNA-disease association inference based on lncRNA expression profiles. Bioinformatics. 2013 29(20): 2617-2624 (SCI, IF: 6.931, cited 437 times, ESI highly cited paper).

    2012

    Ø  Xing Chen, Ming-xi Liu and Gui-ying Yan*. Drug-target interaction prediction by random walk on the heterogeneous network. Molecular BioSystems. 2012 8(7): 1970-1978 (SCI, IF: 4.212, cited 452 times, ESI highly cited paper. Top ten most accessed articles in June 2012; Featured in the top 10% of the most highly cited articles published in the latest Impact Factor window (2011-2012)).

    Ø  Xing Chen, Ming-xi Liu and Gui-ying Yan*. RWRMDA: predicting novel human microRNA–disease associations. Molecular BioSystems. 2012 8(10): 2792-2798 (SCI, IF: 4.212, cited 336 times, ESI highly cited paper).


科研项目

    国家自然科学基金面上项目,61972399,基于多源数据融合的药物响应和药物相关非编码RNA靶点预测研究,2020/01-2023/12,72万,在研,项目主持


    国家自然科学基金面上项目,61772531,多视角识别长非编码RNA和人类复杂疾病关联预测研究,2018/01-2018/12,19.2万,结题,项目主持


    国家自然科学基金青年基金,11301517,多视角识别人类复杂疾病相关microRNA的数学模型与方法研究,2014/01-2016/12,22万,结题,项目主持


    江苏省第十四批“六大人才高峰”高层次人才项目,SWYY-089,长非编码RNA生物大数据处理和预测,2017/07-2020/06,4万,在研,项目主持


    中国矿业大学越崎学者人才引进项目,基于非编码RNA的生物大数据研究及生物信息研究所平台建设,2016/06-2026/05,300万,在研,项目主持


    国家自然科学基金重点项目,11931008,基于图与组合优化的生物数据和网络数据挖掘算法研究,2020/01-2024/12,270万,在研,项目骨干(排名第二,第二单位负责人)


    国家自然科学基金重点项目,11631014,图理论和算法研究及其在生物信息学中的应用,2017/01-2021/12,230万,在研,项目骨干


    江苏省“双创计划”团队项目,新型非晶合金的制备原理及其在能源环境领域的开发应用,2018/10-2021/10,500万,在研,项目核心成员


    国家自然科学基金重大研究计划培育项目,91229127,非可控性炎症调控网络体内定量监视预测技术研究,2013/01-2015/12,110万,结题,项目骨干


    国家自然科学基金专项基金项目数学天元基金,11326042,协同药物研发中的关键数学问题,2013/10-2014/09,20万,结题,项目骨干


    广东省移动互联网应用中间件工程技术研究中心开放课题,基于机器学习和复杂网络方法的药物靶点相互作用预测研究,2018/12-2019/11,5万,结题,项目主持


    广东省移动互联网应用中间件工程技术研究中心开放课题,疾病相关miRNA预测研究,2017/12-2018/11,5万,结题,项目主持


    深圳大学深圳移动互联网应用中间件技术工程实验室开放课题,基于智能算法的长非编码RNA与疾病关联类型预测研究,2019/06-2020/06,5万,结题,项目主持


    深圳大学大数据系统计算技术国家工程实验室开放课题,SZU-BDSC-XY-2018-01,基于智能算法的lncRNA功能预测研究,2018/04-2020/03,5万,结题,项目主持


    深圳大学深圳移动互联网应用中间件技术工程实验室开放课题,基于生物大数据的人类复杂疾病相关微生物预测研究,2020/12-2022/12,2.9万,在研,项目主持


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