Cheng-Wei Li received the Ph.D degree in Institute of Electrical Engineering, National Tsing Hua University in 2010. From 2011 to 2013, he joined Prof. Chung-Chuan Lo’s lab in the Institute of Systems Neuroscience at National Tsing Hua University, where he engaged in research in the area of neuroscience. From 2013 to 2018, he joined Prof. Bor-Sen Chen's lab in the Institute of Electrical Engineering at National Tsing Hua University, where he engaged in research in the area of big data analysis of human diseases. Currently, he has published 1 book and 33 papers in journals, international conferences and book chapters.

INVITED PRESENTATIONS

2017/02/16, Estimating Sensorimotor Mapping from Stimuli to Behaviors to Infer Caenorhabditis elegans movements by Neural Transmission Ability through Connectome Databases, Institute of Information Science, Academia Sinica, Taipei, Taiwan.

Monograph

[1]. Chen, B. S., & Li, C. W. (2016) Big Mechanisms in Systems Biology, Big Data Mining, Network Modeling, and Genome-Wide Data Identification. ELSEVIER. Pp. 870.

Chapters in books

[2]. Chen, B. S., Li, C. W., & Tu, C. T. (2010) Stochastic game theory approach to robust synthetic gene network design. In Qiming Huang (Eds.), Game Theory. SCIYO. Pp. 155-177.

Articles in refereed journals

[3]. Chang, W. C., Li, C. W., & Chen, B. S. (2005) Quantitative inference of dynamic pathways via microarray data. BMC Bioinformatics, 6:44, 1-19. (Q1 journal (IF: 2.435) in MATHEMATICAL & COMPUTATIONAL BIOLOGY - SCIE)

[4]. Li, C. W., Chu, Y. H., & Chen, B. S. (2006) Construction and clarification of dynamic gene regulatory network of cancer cell cycle via microarray data. Cancer Informatics, 2, 223-241.

[5]. Chen, B. S., & Li, C. W. (2007) Analyzing microarray data in drug discovery using systems biology. Expert Opinion on Drug Discovery, 2(5), 755-768. (Q1 journal (IF: 3.484) in PHARMACOLOGY & PHARMACY - SCIE) (Related Patent: ANALYZING IMMUNE SIGNALING NETWORKS FOR IDENTIFICATION OF THERAPEUTIC TARGETS IN COMPLEX CHRONIC MEDICAL DISORDERS)

[6]. Li, C.W., Chang, W.C.  & Chen, B.S. (2009) System identification and robustness analysis of the circadian regulatory network via ARX stochastic interactive model. International Journal of Computational Intelligence in Control, 1(1), 37-55.

[7]. Li, C. W., & Chen, B. S. (2009) Stochastic spatio-temporal dynamic model for gene/protein interaction network in early Drosophila development. Gene Regulation and Systems Biology, 3, 191-210.

[8]. Chen, B. S., & Li, C. W. (2010) On the noise-enhancing ability of stochastic Hodgkin-Huxley neuron systems. Neural Computation, 22(7), 1737-1763. (Q2 journal (IF: 1.626) in COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE - SCIE)

[9]. Li, C. W., & B. S. Chen (2010) Identifying functional mechanisms of gene and protein regulatory networks in response to a broader range of environmental stresses. Comparative and Functional Genomics, Article ID 408705. (Q3 journal (IF: 2.032) in BIOCHEMISTRY & MOLECULAR BIOLOGY - SCIE)

[10]. Chen, B. S., & Li, C. W. (2010) On the interplay between entropy and robustness of gene regulatory networks. Entropy, 12(5), 1071-1101. (Q2 journal (IF: 1.743) in PHYSICS, MULTIDISCIPLINARY - SCIE)

[11]. Li, C. W., & Chen, B. S. (2010) Robust observer-based tracking control of Hodgkin-Huxley neuron systems under environmental disturbances. Neural Computation, 22(12), 3143-3178. (Q2 journal (IF: 1.626) in COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE - SCIE)

[12]. Li, C. W., Lo, C. C., & Chen, B. S. (2015) Robust Sensorimotor Control of Human Arm Model under State-dependent Noises, Control-dependent Noises and Additive Noises. Neurcomputing, 167, 61-75. (Q1 journal (IF: 2.392) in COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE - SCIE)

[13]. Chen, B. S., & Li, C. W. (2015) Measuring information flow in cellular networks by the systems biology method through microarray data. Frontiers in Plant Science, 6:390. (Top 10% journal (IF: 4.495) in PLANT SCIENCES - SCIE)

[14]. Chen, B. S., Tsai, K. W., & Li, C. W. (2015) Using Nonlinear Stochastic Evolutionary Game Strategy to Model an Evolutionary Biological Network of Organ Carcinogenesis Under a Natural Selection Scheme. Evolutionary Bioinformatics, 11, 155-178. (Q3 journal (IF: 1.404) in MATHEMATICAL & COMPUTATIONAL BIOLOGY - SCIE)

[15]. Li, C. W., Lo, C. C., & Chen, B. S. (2016) Estimating Sensorimotor Mapping from Stimuli to Behaviors to Infer C. elegans movements by Neural Transmission Ability through Connectome Databases. IEEE Transactions on Neural Networks and Learning Systems, 27(11), 2229-41. (Top one journal (IF: 4.854) in COMPUTER SCIENCE, HARDWARE & ARCHITECTURE - SCIE)

[16]. Chen, B. S., Wong, S. W., & Li, C. W. (2015) On the Calculation of System Entropy in Nonlinear Stochastic Biological Networks. Entropy, 17(10), 6801-33. (Q2 journal (IF: 1.743) in PHYSICS, MULTIDISCIPLINARY - SCIE)

[17]. Wong, Y. H., Lin, C. L., Chen, T. S., Chen, C. A., Jiang, P. S., Lai, Y. H., Chu, L. J., Li, C. W., Chen, J., & Chen, B. S. (2015) Multiple target drug cocktail design for attacking the core network markers of four cancers using ligand-based and structure-based virtual screening methods. BMC Medical Genomics, 8(Suppl 4): S4. (Q2 journal (IF: 2.726) in GENETICS & HEREDITY - SCIE)

[18]. Li, C. W. & Chen, B. S. (2016) Network biomarkers of bladder cancer based on a genome-wide genetic and epigenetic network derived from next-generation sequencing data. Disease Markers, Article ID 4149608. (Q2 journal (IF: 2.137) in PATHOLOGY - SCIE)

[19]. Li, C. W., Wang, W. H., & Chen, B. S. (2016) Investigating the specific core genetic-and-epigenetic networks of cellular mechanisms involved in human aging in peripheral blood mononuclear cells. Oncotarget, 7(8):8556-79. (Q1 journal (IF: 5.008) in ONCOLOGY - SCIE)

[20]. Chen, B. S., & Li, C. W. (2016) Constructing an integrated genetic and epigenetic cellular network for whole cellular mechanism using high-throughput next-generation sequencing data. BMC Systems Biology, 10:18. (Q1 journal (IF: 2.435) in MATHEMATICAL & COMPUTATIONAL BIOLOGY - SCIE)

[21]. Li, C. W. & Chen, B. S. (2016) Investigating Core Genetic-and-epigenetic Cell Cycle Networks for Stemness and Carcinogenic Mechanisms, and Cancer Drug Design using Big Database Mining and Genome-wide Next-generation Sequencing Data. Cell Cycle, 15(19):2593-2607. (Q2 journal (IF: 3.952) in CELL BIOLOGY - SCIE)

[22]. Li, C. W., Lee, Y. L., & Chen, B. S. (2016) Investigating the Genome-wide Genetic-and-epigenetic Interspecies Networks for Cross-talk Mechanisms and Multi-molecule Drug Design in Human Macrophages and Dendritic Cells Both Infected with Mycobacterium tuberculosis. Frontiers in Cellular and Infection Microbiology, 6:124. (Q1 journal (IF: 5.218) in MICROBIOLOGY - SCIE) (selected in New perspectives in evolution: The superorganisms, symbiopoiesis and integration of systems from the publications in the last 7 years by editor-in-chief Emiliano Salvucci)

[23]. Li, C. W., Chang, P. Y., & Chen, B. S. (2016) Investigating the Mechanism of Hepatocellular Carcinoma Progression by Constructing Genetic and Epigenetic Networks Using NGS Data Identification and Big Database Mining Method. Oncotarget, 7(48):79453-79473. (Q1 journal (IF: 5.008) in ONCOLOGY - SCIE)

[24]. Li, C. W., M. H. Su, & Chen, B. S. (2017) Investigation of the Cross-talk Mechanism in Caco-2 cells during Clostridium difficile Infection through Genetic and Epigenetic Interspecies Networks: Big Data Mining and Genome-wide Identification. Frontiers in Immunology, 8:901. (Q1 journal (IF: 6.429) in IMMUNOLOGY - SCIE)

[25]. Li, C. W., & Chen, B. S. (2018) Investigating HIV-Human Interaction Networks to Unravel Pathogenic Mechanism for Drug Discovery: A Systems Biology Approach. Current HIV Research, 16(1):77-95. (Q4 journal (IF: 1.612) in VIROLOGY - SCIE)

[26]. Li, C. W., Lai, T. Y., & Chen, B. S. (2018) Changes of Signal Transductivity and Robustness of Gene Regulatory Network in the Carcinogenesis of Leukemic Cells via Microarray Sample Data.  Oncotarget , 9(34): 23636-23660. (Q1 journal (IF: 5.008) in ONCOLOGY - SCIE).

[27]. Li, C. W., Chiu, Y. K., & Chen, B. S. (2018) Investigating Pathogenic and Hepatocarcinogenic Mechanisms from Normal Liver to HCC by Constructing Genetic and Epigenetic Networks via Big Genetic and Epigenetic Data Mining and Genome-Wide NGS Data Identification. Disease Markers, Article ID 8635329. (IF: 2.761 in PATHOLOGY - SCIE)

[28].Li, C. W., Jheng, B. R., & Chen, B. S. (2018) Investigating genetic-and-epigenetic networks, and the cellular mechanisms occurring in Epstein–Barr virus-infected human B lymphocytes via big data mining and genome-wide two-sided NGS data identification. PLOS ONE, 13(8):e0202537. (Impact Factor: 2.776).

[29]. Yeh, S. J., Lin, C. Y., Li, C. W., & Chen, B. S. (2019) Systems Biology Approaches to Investigate Genetic and Epigenetic Molecular Progression Mechanisms for Identifying Gene Expression Signatures in Papillary Thyroid Cancer. International Journal of Molecular Sciences, 20(10), 2536. (Impact Factor: 4.183).

[30]. Wong, S. W., Yeh, S. J., Li, C. W., Wang, L. H., & Chen, B. S. (2019) Investigation mechanisms between normal, developing and regenerating livers for regenerative liver drug design. Regenerative Medicine, 14(5):359-387. (Impact Factor: 2.383).

[31]. Yeh, S. J., Chang, C. A., Li, C. W., Wang, L. H., & Chen, B. S. (2019)Comparing progression molecular mechanisms between lung adenocarcinoma and lung squamous cell carcinoma based on genetic and epigenetic networks: big data mining and genome-wide systems identification. Oncotarget. 10(38):3760-3806 (Q1 journal (IF: 5.008) in ONCOLOGY - SCIE).

Articles in conference

[32]. Li, C. W., Chang, W. C., & Chen, B. S. (2006) System identification and robustness analysis of the circadian regulatory network via microarray data in Arabidopsis thaliana. Proceedings of the 4th Asia-Pacific Bioinformatics Conference, 13-16 Feb., Taipei, Taiwan.

[33]. Li, C. W., & Chen, B. S. (2007) Spatio-temporal dynamic model in Drosophila early development via protein data and microarray data“, The 8th International Conference on Systems Biology, Oct. 1-6, Long Beach, California.

[34]. Li, C. W., & Chen, B. S. (2016) Identification of Core Neural Network in Response to Combinatorial Stimuli Based on Transmission Ability of the Caenorhabditis elegans Connectome”, The International Conference on Machine Learning and Cybernetics (ICMLC) & Wavelet Analysis and Pattern Recognition (ICWAPR), 10-13 July, Jeju Island, South Korea.