Skip to main content
Fig. 5 | BMC Bioinformatics

Fig. 5

From: Feature related multi-view nonnegative matrix factorization for identifying conserved functional modules in multiple biological networks

Fig. 5

Illustration of results on a set of 33 cancer type-specific gene co-expression networks. a F-score of five methods. Gene modules found by each method are evaluated by multiple gold-standard gene set annotations. b The scatter plot for the average value of connection strength and participation coefficient of each module. Each point represents an identified module. c Top five significant biological process enriched by the identified modules. d Top five significant KEGG pathways enriched by the identified modules. e Heat map of distribution of modules in multiple cancers. Each row represents a conserved module and each column corresponds to a cancer type. If a module significantly distributes in a cancer’s network (BH-adjusted p-value< 0.01, permutation test), it will be labeled as 1. Otherwise, a module will be labeled as 0

Back to article page