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      Complex network-based approaches to biomarker discovery.

      1 , 1
      Biomarkers in medicine
      Future Medicine Ltd
      centrality, network biomarkers, observability

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          Abstract

          Many studies on biomarker discovery have been done by analyzing mutations in DNA sequences and differences in gene expression patterns. As a new branch of the latter approach, the concept of network biomarkers has been proposed, in which expression data of small subnetworks are used as markers. Furthermore, network biomarkers have been extended to dynamical network biomarkers, in which time series expression data of subnetworks are used as markers. On the other hand, the methodologies in complex networks have also been applied to biomarker discovery. For example, various centrality measures and the concept of observability have been applied. In this article, we review these new approaches for biomarker discovery with focusing on the computational/methodological aspects.

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          Author and article information

          Journal
          Biomark Med
          Biomarkers in medicine
          Future Medicine Ltd
          1752-0371
          1752-0363
          June 2016
          : 10
          : 6
          Affiliations
          [1 ] Kyoto University, Gokasho, Uji, Kyoto, Japan 611-0011.
          Article
          10.2217/bmm-2015-0047
          26947205
          3dc45650-81be-49be-a015-7b0aa5386fb9
          History

          centrality,network biomarkers,observability
          centrality, network biomarkers, observability

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