MCL is a general purpose cluster algorithm for both weighted and unweighted networks. The algorithm utilises network topology as well as edge weights, is highly scalable and has been applied in a wide variety of bioinformatic methods. In this chapter, we give protocols and case studies for clustering of networks derived from, respectively, protein sequence similarities and gene expression profile correlations. © 2012 Springer Science+Business Media, LLC.
CITATION STYLE
Van Dongen, S., & Abreu-Goodger, C. (2012). Using MCL to extract clusters from networks. Methods in Molecular Biology, 804, 281–295. https://doi.org/10.1007/978-1-61779-361-5_15
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