Screening of Potential Biomarkers in the Peripheral Serum for Steroid-Induced Osteonecrosis of the Femoral Head Based on WGCNA and Machine Learning Algorithms

Figure 2

Identification of target genes by WGCNA. (a) Sample clustering analysis revealed that GSM3507251 sample was an outlier. (b) Soft threshold analysis suggested that gene associations were maximally consistent with the scale-free distribution and when . (c) Modules identified by merging modules with feature factors greater than 0.5 and setting the minimum number of genes in a module as 30. (d) Module correlations among the three identified modules. (e) Correlation between modules and SONFH.

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