Chen Luonan Ph.D.  Dr. Chen was recipient ofCAS-NN Great Wall Professorship Award (2009).He was the chief scientist ofNational Key R&D Program of China“Systems Biology Study on the tipping point during lung cancer progression”.

Education Background

1980/9 - 1984/7，Huazhong University of Science and Technology, Electrical Engineering，BS

1986/4 - 1988/3，Tohoku University，Electrical Engineering，MS

1988/4 - 1991/3，Tohoku University，Electrical Engineering，PhD 

Work Experience

• 1991-1997 : Senior Engineer and Project manager at JPBS, Tokyo, Japan.
• 1997-2000 : Associate professor at the Department of Electrical Engineering and Electronics, Osaka Sangyo University, Osaka, Japan.
• 2000-2002 : Visiting Professor at the Department of Computer Science, University of California, Los Angeles (UCLA), USA.
• 2002- 2010 : Professor at the Department of Electrical Engineering and Electronics, Osaka Sangyo University, Osaka, Japan.
• 2013-present : Professor (Adjunct), ShanghaiTech University, Shanghai, China.
• 2009-present: Professor, Executive Director, Key Laboratory of Systems Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, China

My research interests are on computational systems biology or network biology, in particular, focusing on the two aspects of biological systems, i.e., network and dynamics, which are considered as the core parts of systems biology. Specifically, I aim to elucidate the molecular mechanisms of nonlinear biological phenomena at the network level by developing novel methodologies or framework of systems biology with the emphasis on the data-driven approaches. Currently, based on our theoretical methods and results, I am working on the topics, 1. detect the tipping point or critical state as well as its key molecular network during a biological process; 2. analyze dynamical networks for cell fate decision and also network-driver identification of lung cancer; and 3. develop eGPS (nonlinear evolutionary framework) and apply to the analyses of complex traits for rats and dogs at different sea-levels.

From the computational viewpoint, the great challenge is how to obtain reliable and also dynamical information of biological systems by integrating the heterogeneous biological data with high dimensions but small sample size, which is my major research area and is also one key to revealing molecular mechanisms and achieve real precision medicine.

【1】  Hao Jiang, Lydia Sohn，Haiyan Huang*,Luonan Chen*. Single Cell Clustering Based on Cell-Pair Differentiability Correlation and Variance Analysis.Bioinformatics,

             https://doi.org/10.1093/bioinformatics/bty390, 2018.

【2】  Biwei Yang, Meiyi Li, Wenqing Tang, Weixin Liu, Si Zhang,Luonan Chen*, Jinglin Xia*. Dynamic network biomarker indicates pulmonary metastasis at the tipping point of hepatocellular carcinoma.Nature Communications, DOI: 10.1038/s41467-018-03024-2, 2018.

【3】 Qing-Run Li, Zi-Ming Wang, Nicolai J. Wewer Albrechtsen, Dan-Dan Wang, Zhi-Duan Su, Xian-Fu Gao, Qing-Qing Wu, Hui-Ping Zhang, Li Zhu, Rong-Xia Li, SivHesse Jacobsen, Nils Bruun J?rgensen, Carsten Dirksen, Kirstine N. Bojsen-M?ller, Jacob S. Petersen, Sten Madsbad,Trine R. Clausen, B?rge Diderichsen,Luonan Chen*, Jens J. Holst*, Rong Zeng*, Jia-Rui Wu*. Systems Signatures Reveal Unique Remission-path of Type 2 Diabetes Following Roux-en-Y Gastric Bypass Surgery.EBioMedicine, https://doi.org/10.1016/j.ebiom.2018.01.018, 2018.

【4】 Wei-Feng Guo, Shao-Wu Zhang, Li-Li Liu, Fei Liu, Qian-Qian Shi, Lei Zhang, Ying Tang, Tao Zeng,Luonan Chen*. Discovering personalized driver mutation profiles of single samples in cancer by network control strategy.Bioinformatics, doi.org/10.1093/bioinformatics/bty006, 2018.

【5】 Chuan Chen, Jinxue Xin, Yong Wang,Luonan Chen*, Michael K. Ng*. A Semi-supervised Classification Approach for Multi-domain Networks with Domain Selection.IEEE Transactions on Neural Networks and Learning Systems, 2018.

【6】 Meiyi Li, Chen Li, Wei-Xin Liu, CongHui Liu, JingRu Cui, QingRun Li, Hong Ni, Yingcheng Yang, Chaochao Wu, Chunlei Chen, Xing Zhen, Xiaoping Liu, Tao Zeng, Mujun Zhao, Lei Chen, Jiarui Wu*, Rong Zeng*,Luonan Chen*. Dysfunction of PLA2G6 and CYP2C44 associated network signals imminent carcinogenesis from chronic inflammation to hepatocellular carcinoma.Journal of Molecular Cell Biology, 9(6):489-503, doi:10.1093/jmcb/mjx021, 2018.

【7】 Xiangtian Yu, Jingsong Zhang, Shaoyan Sun, Xin Zhou, Tao Zeng*,Luonan Chen*.Individual-specific edge-network analysis for disease prediction,Nucleic Acids Research, doi: 10.1093/nar/gkx787, 2017.

【8】   Xiaoping Liu, Xiao Chang, Rui Liu, Xiangtian Yu,Luonan Chen*and Kazuyuki Aihara*. Quantifying critical states of complex diseases using single-sample dynamic network biomarkers.PLoS Computational Biology, 13(7):e1005633, doi: 10.1371/journal.pcbi.1005633, 2017.

【9】      Qianqian Shi, Chuanchao Zhang, Minrui Peng, Xiangtian Yu, Tao Zeng, Juan Liu,Luonan Chen*. Pattern fusion analysis by adaptive alignment of multiple heterogeneous omics data.Bioinformatics, 33(17):2706-2714, doi: 10.1093/bioinformatics/btx176, 2017.

【10】  Juan Zhao, Yiwei Zhou, Xiujun Zhang,Luonan Chen*. Part mutual information for quantifying direct associations in networks.Proc Natl Acad Sci USA, 113, 5130-5135，2016.

【11】  Xiaoping Liu, Yuetong Wang, Hongbin Ji, Kazuyuki Aihara*,Luonan Chen*. Personalized characterization of diseases using sample-specific networks.Nucleic Acids Research, doi: 10.1093/nar/gkw772, 2016.

【12】  Pei Chen, Rui Liu*, Yongjun Li,Luonan Chen*. Detecting critical state before phase transition of complex biological systems by hidden Markov model.Bioinformatics, doi: 10.1093/bioinformatics/btw154, 2016.

【13】  Fei Liu, Shaowu Zhang,Luonan Chen*. Inference of gene regulatory network based on local Bayesian networks.PLoS Computational Biology, DOI:10.1371/journal.pcbi.1005024, 2016.

【14】  Tao Zeng, Wanwei Zhang, Xiangtian Yu, Xiaoping Liu, Meiyi Li,Luonan Chen*. Big-data based edge biomarkers: study on dynamical drug sensitivity and resistance in individuals.Briefings in Bioinformatics, 17(4):576-92. doi: 10.1093/bib/bbv078, 2016.

【15】  Xiujun Zhang, Juan Zhao, Jin-Kao Hao, Xing-Ming Zhao, andLuonan Chen*. Conditional mutual inclusive information enables accurate quantification of associations in gene regulatory networks.Nucleic Acids Research, doi: 10.1093/nar/gku1315, 2015.