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Network Analysis, Integration and Methods in Computational Biology: A Brief Survey on Recent Advances

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Complex Systems and Networks

Part of the book series: Understanding Complex Systems ((UCS))

Abstract

With rapid accumulation of high-throughput data, network has become one of key paradigms in computational biology for analyzing biological systems. In the past fifteen years, many types of molecular networks have been extensively investigated, demonstrating great potentials to discover basic functions and reveal essential mechanisms. More recently, network has played many new roles in multiple networked data and data types. In this chapter, we aim to survey the recent developments on topics related to biological networks and network-based data integration, with the special emphasis on the computational aspect. The contents of this survey covers network-based cancer stratification and cancer driver discovery from mutation data, network-based discovery of disease modules, multiple similarity network fusion, network-regularized data integration, module detection in multi-layer networks, topological analysis of a disease-age gene network, comparative analysis of multiple transcriptional-factor networks, etc.

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Acknowledgments

This work was supported by the National Natural Science Foundation of China, No. 61379092, 61422309 and 11131009, the Strategic Priority Research Program of the Chinese Academy of Sciences (CAS) (XDB13040600), the Foundation for Members of Youth Innovation Promotion Association, CAS, The Outstanding Young Scientist Program of CAS, and the Key Laboratory of Random Complex Structures and Data Science, CAS.

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Authors and Affiliations

  1. National Center for Mathematics and Interdisciplinary Sciences, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing, 100190, People’s Republic of China

    Shihua Zhang

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  1. Shihua Zhang
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Correspondence to Shihua Zhang .

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Editors and Affiliations

  1. Institute of Systems Science, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing, China

    Jinhu Lü

  2. School of Electrical and Computer Engineering, RMIT University, Melbourne, Australia

    Xinghuo Yu

  3. Department of Electronic Engineering, City University of Hong Kong, Hong Kong, China

    Guanrong Chen

  4. Department of Mathematics, Southeast University, Nanjing, China

    Wenwu Yu

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Zhang, S. (2016). Network Analysis, Integration and Methods in Computational Biology: A Brief Survey on Recent Advances. In: Lü, J., Yu, X., Chen, G., Yu, W. (eds) Complex Systems and Networks. Understanding Complex Systems. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-47824-0_18

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  • DOI: https://doi.org/10.1007/978-3-662-47824-0_18

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-47823-3

  • Online ISBN: 978-3-662-47824-0

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