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Network Analysis and Applications in Pediatric Research

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Pediatric Biomedical Informatics

Part of the book series: Translational Bioinformatics ((TRBIO,volume 10))

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Abstract

Networks, where nodes denote entities and links denote associations, provide a unified representation for a variety of complex systems, from social relationships to molecular interactions. In an era of big data, network analysis has been proved useful in biological applications such as predicting functions of proteins, guiding the design of wet-lab experiments, and discovering biomarkers of diseases. Driven by the availability of large-scale data sets and rapid development of bioinformatics’ tools, the research community has applied network analysis to define underlying causes of pediatric diseases. This will almost certainly lead to more effective strategies for prevention and treatment of diseases. In this chapter, we will introduce classic and the state-of-the-art network analysis methodologies, approaches and their applications. We then provide four examples of recent research, where network analysis is being applied in pediatrics. These include the identification of high-density lipoprotein particles that underlie the development of cardiovascular disease using protein-protein interaction networks, alternative splicing analysis by splicing interaction network, construction and network analysis of pediatric brain functional atlas, and disease relationship exploration using diagnosis association networks constructed by electronic health record.

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Authors and Affiliations

  1. Division of Biomedical Informatics, Cincinnati Children’s Hospital Medical Center, 3333 Burnet Avenue, Cincinnati, OH, 45229, USA

    Hailong Li, Zhaowei Ren, Sheng Ren, Xinyu Guo, Xiaoting Zhu & Long Jason Lu

  2. Department of Electrical Engineering and Computing Systems, University of Cincinnati, 2600 Clifton Avenue, Cincinnati, OH, 45221, USA

    Zhaowei Ren, Xinyu Guo, Xiaoting Zhu & Long Jason Lu

  3. Department of Statistics, University of Cincinnati, 2600 Clifton Avenue, Cincinnati, OH, 45221, USA

    Sheng Ren

  4. Department of Environmental Health, University of Cincinnati, 2600 Clifton Avenue, Cincinnati, OH, 45221, USA

    Long Jason Lu

  5. Departments of Pediatrics and Biomedical Informatics, Division of Biomedical Informatics, Cincinnati Children’s Hospital Research Foundation, 3333 Burnet Avenue, MLC 7024, Cincinnati, OH, 45229, USA

    Long Jason Lu

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  1. Hailong Li
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Li, H., Ren, Z., Ren, S., Guo, X., Zhu, X., Lu, L.J. (2016). Network Analysis and Applications in Pediatric Research. In: Hutton, J. (eds) Pediatric Biomedical Informatics. Translational Bioinformatics, vol 10. Springer, Singapore. https://doi.org/10.1007/978-981-10-1104-7_13

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