Complex Networks, Gene Expression and Cancer Complexity: A brief Review in Methodology and Applications.

(E-pub Abstract Ahead of Print)

Author(s): A. C. Iliopoulos, G. Beis, P. Apostolou, I. Papasotiriou*.

Journal Name: Current Bioinformatics

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Abstract:

In this brief survey, various aspects of cancer complexity and how this complexity can be confronted using modern complex networks’ theory and gene expression datasets, are described. In particular, basic features of cancer as a complex system are noted, while the importance of gene expression data in cancer research and in reverse engineering of gene co-expression networks is underlined. In addition, a non-exhaustive list of recent studies concerning gene co-expression complex networks and their application in cancer research, as well as an introduction to the corresponding theoretical and mathematical framework of graph theory and complex networks are provided. Finally, the basics concerning network reconstruction, enrichment and survival analysis, evolution, robustness-resilience and cascades in complex networks are briefly reviewed.

Keywords: cancer complexity, gene co-expression, complex networks, network inference, network evolution

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Article Details

(E-pub Abstract Ahead of Print)
DOI: 10.2174/1574893614666191017093504
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