职称：副教授
邮箱：ChenLiang@stu.edu.cn


教育背景：
?2011/09-2016/06吉林大学计算机科学与技术学院博士
?2008/09-2011/06吉林大学计算机科学与技术学院硕士
?2004/11-2006/07吉林大学生命科学学院 生物技术第二学位
?2004/09-2008/06吉林大学计算机科学与技术学院本科
?2014/07-2014/12东芬兰大学健康科学学院 交换生
?2010/08-2011/02东芬兰大学健康科学学院 交换生


工作经历：
?2016/07-2019/06澳门大学健康科学学院 博士后研究员


个人简介：
陈亮博士，汕头大学工学院计算机系副教授。主要研究方向为机器学习、生物大数据分析、数据整合与挖掘、疾病生物标志物挖掘、非编码RNA等。长期从事基于生物医学大数据的精准医学、基因组学方法学的研究，开发相应的生物信息学工具和数据库。在《Briefings in bioinformatics》、《EBioMedicine》、《Genomics, Proteomics & Bioinformatics》等国际知名期刊上发表多篇论文，并担任《The Lancet Infectious Diseases》、《BMC Systems Biology》等杂志审稿人。


开设课程：
?数据结构与算法
?数据可视化


主要成果：
Chen L^*#, Wang CL^*, Sun HY^*, Wang JX, Liang YC, Wang Y, Wong G^#. The bioinformatics toolbox for circRNA discovery and analysis.Briefings in Bioinformatics, 2020. (SCI, IF=8.99)
Chen L, Sun HY, Wang CL, Yang Y, Zhang ML and Wong G. miRNA Arm Switching Identifies Novel Tumour Biomarkers. Ebiomedicine, 2018. (SCI, IF=6.68)
Chen L, Heikkinen L, Wang C, et al. Trends in the development of miRNA bioinformatics tools. Briefings in Bioinformatics, 2019. (SCI, IF=9.101)
Chen L, Heikkinen L, Wang C, et al. miRToolsGallery: A microRNA bioinformatics resources database portal. Database (Oxford), 2018. (SCI, IF=3.683)
Chen L, Wong G. Transcriptome Informatics. Encyclopedia of Bioinformatics and Computational Biology, 2018. (Chapter)
Chen L, Wong G. Novel tumor biomarker based on isomiR expression profiles. 2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). IEEE, 2017: 2328-2329. (EI, Poster Paper)
Chen L, Heikkinen L, Emily Knott K, et al. Evolutionary conservation and function of the human embryonic stem cell specific miR-302/367 cluster. Comp Biochem Physiol Part D Genomics Proteomics, 2015, 16: 83-98. (SCI, IF=2.573)
Chen L, Du W, Wang Y, et al. Silhouette Index Supervised Affinity Propagation Clustering. Journal of Bionanoscience, 2013, 7(4): 447-452(6). (EI)
Wang CL*,Chen L*, Yang Y, Zhang ML, Wong G. Identification of potential blood biomarkers for Parkinson’s disease by gene expression and DNA methylation data integration analysis. Clinical Epigenetics, 2019. (SCI, IF=5.496, co-first author)
Wang CL*,Chen L*, Yang Y, et al. Identification of bladder cancer prognostic biomarkers using an ageing gene-related competitive endogenous RNA network. Oncotarget, 2017, 8(67): 111742. (SCI, co-first author)
Sun HY,Chen L, Cao S, Liang Y, Xu Y. Warburg Effects in Cancer and Normal Proliferating Cells: Two Tales of the Same Name. Genomics, Proteomics & Bioinformatics, 2018. (SCI, IF=6.597)
Wang J,Chen L, Wang Y, et al. A computational systems biology study for understanding salt tolerance mechanism in rice. PLoS One, 2013, 8(6): e64929. (SCI, IF=2.776)
Wang S, Wang Y, Zhang Q, Wu S, Ng C, Ungvari G,Chen L, et al. Cognitive behavioral therapy for post-stroke depression: A meta-analysis. Journal of Affective Disorders, 2018. (SCI, IF=4.084)
Sun HY, Liang YC, Wang Y,Chen L, Du W, Jiang YX and Shi XH. Link Prediction Based on Extended Local Path Gain in Protein-Protein Interaction Network. Technical Gazette, 2019, 26(1). (SCI, IF=0.644)
Wang C, Saar V, Leung K L,Chen L, et al. Human amyloid β peptide and tau co-expression impairs behavior and causes specific gene expression changes in Caenorhabditis elegans. Neurobiology of Disease, 2017. (SCI, IF=5.16)
Jiang Y, Wang Y, Pang W,Chen L, et al. Essential protein identification based on essential protein-protein interaction prediction by Integrated Edge Weights.Methods, 2015, 83: 51-62. (SCI, IF=3.782)
Meng D, Bai L, Liang Y, Du W, Wang Y andChen L. Identifying intronic miRNA and mRNA regulatory network in renal cell carcinoma by paired expression data. Journal of Bionanoscience, 2013, 7(5): 551-559. (EI)
Sun H, Liang Y,Chen L, et al. An Improved Sum of Edge Clustering Coefficient Method for Essential Protein Identification. Journal of Bionanoscience, 2013, 7(4): 386-390. (EI)
Sun Y, Wang Y,Chen L, et al. Improved Filter Feature Selection Methods by Samples Localization. Journal of Bionanoscience, 2013, 7(4): 371-377. (EI)
Cui QL, Tang C, Xu GP, Wu CG, S XH, Liang YC,Chen L, et al. Surprisingly Popular Algorithm-Based Comprehensive Adaptive Topology Learning PSO. 2019 IEEE Congress on Evolutionary Computation (CEC).(EI)


主持或参与的科研项目：
国家自然科学基金青年科学基金项目，**，关于阿尔茨海默病非编码RNA生物标志物挖掘的研究，2021/01-2023/12，主持
澳门大学多年研究项目，MYRG2016-00101-FHS，“非经典非编码小RNA的数据库构建，表达分析与生物标志物挖掘”，2017/01-2019/12，参加
国家自然科学基金青年科学基金项目，**，开放获取生物医学文献的实体关系抽取，2017/01-2020/12，参加
国家自然科学基金面上项目，**，胰腺癌体液肿瘤标志物的系统挖掘与机理分析，2016/01-2019/12，参加
国家自然科学基金面上项目，**，永恒语言学习关键算法研究，2016/01-2019/12，参加
国家自然科学基金面上项目，**，全基因组重测序数据高维SNP相互作用研究，2015/01-2018/12，参加
国家自然科学基金面上项目，**，微机电系统多尺度力学问题研究与实验验证，2014/01-2017/12，参加
国家自然科学基金面上项目，**，基于农作物高通量表达谱数据的特征选择与分子网络构建的评估算法，2013/01-2016/12，参加
教育部博士点基金，106，基于表达数据的癌症miRNA标志物预测及网络构建研究，2013/01-2014/12，参加
吉林省科技厅国际合作项目，**，结肠癌与食道癌早期诊断的尿液中蛋白标志物预测，2012/01-2014/12，参加
国家自然科学基金面上项目，**，农艺性状及相关基因关联网络若干基础问题研究，2011/01-2013/12，参加


合作机构：
Key Laboratory of Symbolic Computation and Knowledge, Engineering of Ministry of Education, College of Computer Science and Technology, Jilin University
School of Artificial Intelligence, Jilin University
The China-Japan Union Hospital, Jilin University
Department of Computer Science and Technology, Zhuhai College of Jilin University
Cancer Centre, Centre of Reproduction, Development and Aging, Faculty of Health Sciences, University of Macau
Computational Systems Biology Lab, Department of Biochemistry and Molecular Biology and Institute of Bioinformatics, University of Georgia
Department of Electrical Engineering & Computer Science and Christopher S. Bond Life Sciences Center, University of Missouri
A.I. Virtanen Institute, Faculty of Health Sciences, University of Eastern Finland
Department of Biological & Environmental Science, University of Jyv?skyl?
Institute of Clinical Medicine, Department of Clinical Molecular Biology, University of Oslo
Guangdong Mental Health Center, Guangdong General Hospital & Guangdong Academy of Medical Sciences
Biotechnology and Food Engineering Program, Guangdong Technion – Israel Institute of Technology