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,五家SCI杂志副主编,Briefings in Bioinformatics(影响因子11.622)等十一家SCI杂志编委,PLoS Computational Biology杂志特约副主编,六家SCI杂志首席特约编委,十七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

    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: 11.622, cited 42 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: 11.622, cited 18 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: 11.622).

    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: 11.622).

    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: 11.622).

    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: 11.622).

    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: 11.622).

    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. 2021 Advance Access (SCI, IF: 11.622).

    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. 2021 Accepted for publication (SCI, IF: 11.622).

    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: 11.622, cited 70 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: 4.652, cited 21 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: 5.736, cited 20 times).

    Ø  Xing Chen*, Hongsheng Liu, Qi Zhao*. Editorial: Bioinformatics in Microbiota. Frontiers in Microbiology. 2020 11: 100 (SCI, IF: 5.64).

    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: 5.924).

    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: 5.89, cited 12 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: 11.622, cited 290 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: 11.622, cited 38 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: 4.475, cited 74times).

    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: 6.937, cited 63 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: 4.475, cited 65 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: 8.886, cited 28 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: 8.886, cited 28 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: 4.241, cited 74 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: 4.652, cited 19 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: 8.038, cited 10 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: 6.6, cited 18 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: 4.939, cited 15 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: 4.956, cited 20 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: 4.956, cited 10 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: 6.937, cited 264 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: 6.937, cited 204 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: 4.475, cited 183 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: 8.469, cited 163 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: 16.971, cited 76 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: 4.652, cited 25 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: 4.652, cited 47 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: 8.886, cited 57 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: 5.514, cited 44 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: 8.886, cited 34 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: 5.531, cited 36 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: 5.31, cited 25 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: 5.31, cited 56 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: 5.31, 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: 5.811, cited 24 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: 5.811, cited 13 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: 5.811, cited 22 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: 5.293, cited 21 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: 11.622, cited 392 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: 4.475, cited 273 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: 6.937, cited 149 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: 4.475, cited 177 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: 4.652, cited 110 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: 3.710, cited 43 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: 5.531, cited 35 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: 6.317, cited 40 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: 5.64, cited 56 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: 5.531, cited 50 times).

    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: 11.622, cited 348 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: 4.475, cited 182 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: 4.379, cited 264 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 179 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: 3.169, cited 119 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: 5.924, cited 27 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: 4.379, cited 176 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: 4.379, cited 141 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: 4.379, cited 139 times)

    Ø  Xing Chen*. KATZLDA: KATZ measure for the lncRNA-disease association prediction. Scientific Reports. 2015 5:16840 (SCI, IF: 4.379, cited 159 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: 4.379, cited 294 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: 6.937, cited 390 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: 3.743, cited 416 times. 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: 3.743, cited 321 times).

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


    中国矿业大学重大项目培育专项,深度学习方法在大数据分析预测上的应用研究,2020/08-2023/07,50万,在研,项目主持


    中国矿业大学重大项目培育专项,基于生物医学信息的非编码RNA药物靶点数据分析与智能预测方法研究,2019/08-2022/07,30万,在研,项目主持


    中国矿业大学优秀学者专项,人工智能方法在大数据分析预测上的应用研究,2020/08-2020/12,20万,结题,项目主持


    中国矿业大学学科前沿科学研究专项面上项目,基于计算智能算法的药物靶点预测研究,2017/01-2019/12,20万,结题,项目主持


     中国矿业大学2018年在线课程建设项目,大数据时代的人工智能算法及其应用,2018/07-2020/07,2万,结题,项目主持


    中国科学院国家数学与交叉科学中心数学与生物医学交叉研究部重大专项,重大慢性多发疾病的动态网络系统构建,2012/07-2016/05,参加


    中国科学院知识创新工程重要方向项目,生物分子网络中的模型与算法,2008/01-2012/12,结题,参加



科研项目
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