Co-expression networks

Module function and two-way clustering analysis of Epstein-Barr virus-related nasopharyngeal cancer

F. Chen, Liu, J., Fan, M., Wei, X. M., Xie, Y. L., Wang, L. H., and Yang, H., Module function and two-way clustering analysis of Epstein-Barr virus-related nasopharyngeal cancer, vol. 13, pp. 1823-1831, 2014.

This study sought to identify and characterize the function of genes as diagnostic markers for Epstein-Barr virus (EBV)-related nasopharyngeal cancer (NPC). The gene expression profile of GSE13597 was downloaded from the Gene Expression Omnibus database, which included 28 EBV-related NPC gene expression profile data sets, 25 disease samples, and 3 control samples. Data were pre-processed, and differentially expressed genes were screened using the R language. The co-expression coefficient was calculated to construct a co-expression network using Cytoscape.

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