Predicting the Clinical Outcome of Triple-Negative Breast Cancer Based on the Gene Expression Characteristics of Necroptosis and Different Molecular Subtypes

Figure 4

The hub gene in the RNAseq data set was identified by WGCNA. (a) Clustering trees of every sample. (b) Scale-free exponential analysis on soft threshold powers (STP, ). (c) The average connectivity between different STPs was analyzed. (d) The dendrogram was constructed using DEGs based on different degrees of measurement clustering (1-TOM). The different colored bands indicated the results of automatic block analysis. (e) Statistics of gene no. in each module. (f) The relationship between the module feature vector of every module and clinical data. (g) Scatter diagram that plots the MM vs. GS values for C1 in the yellow module.

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