Gene network analysis is an important tool for studying the changes in steady states that characterize cell functional properties, the genome-environment interplay, and the health-disease transitions. Moreover, gene co-expression and protein–protein interaction (PPI) data can be integrated with clinical, histopathological, and imaging information – a current practice in systems biology – leading, for instance, to the identification of unique and common drivers for disease conditions. In this chapter the fundamentals for gene co-expression network construction, visualization, and analysis are revised, emphasizing its scale-free nature, the measures that express its most relevant topological features, and methods for network validation.
CITATION STYLE
Moreira-Filho, C. A., Bando, S. Y., Bertonha, F. B., Silva, F. N., & Costa, L. da F. (2022). Methods for Gene Co-expression Network Visualization and Analysis. In Transcriptomics in Health and Disease, Second Edition (pp. 143–163). Springer International Publishing. https://doi.org/10.1007/978-3-030-87821-4_6
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