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    Computational systems biology for aging research

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    Authors
    Mc Auley, Mark T.
    Mooney, Kathleen M.
    Affiliation
    University of Chester ; Edge Hill University
    Publication Date
    2015
    
    Metadata
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    Abstract
    Computational modelling is a key component of systems biology and integrates with the other techniques discussed thus far in this book by utilizing a myriad of data that are being generated to quantitatively represent and simulate biological systems. This chapter will describe what computational modelling involves; the rationale for using it, and the appropriateness of modelling for investigating the aging process. How a model is assembled and the different theoretical frameworks that can be used to build a model are also discussed. In addition, the chapter will describe several models which demonstrate the effectiveness of each computational approach for investigating the constituents of a healthy aging trajectory. Specifically, a number of models will be showcased which focus on the complex age-related disorders associated with unhealthy aging. To conclude, we discuss the future applications of computational systems modelling to aging research.
    Citation
    In A. Yashin, & S. M. Jazwinski (Eds.), Aging and health - A systems biology perspective, 40, (pp. 35-48). Karger, 2015
    Publisher
    Karger
    URI
    http://hdl.handle.net/10034/528565
    DOI
    10.1159/000364928
    PubMed ID
    25341511
    Additional Links
    http://www.karger.com/BookSeries/Home/223908
    http://www.karger.com/Book/Toc/261901
    Type
    Book chapter
    Language
    en
    Description
    This book chapter is not available through ChesterRep.
    Series/Report no.
    Interdisciplinary Topics in Gerontology and Geriatrics
    ISSN
    0074-1132
    EISSN
    1662-3800
    ISBN
    9783318027297
    9783318027303
    ae974a485f413a2113503eed53cd6c53
    10.1159/000364928
    Scopus Count
    Collections
    Chemical Engineering

    entitlement

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