Identification of aging-related genes in diagnosing osteoarthritis via integrating bioinformatics analysis and machine learning

Jian Huang; Jiangfei Zhou; Xiang Xue; Tianming Dai; Weicong Zhu; Songsong Jiao; Hang Wu; Qingqi Meng

doi:doi:10.18632/aging.205357

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Research Paper Volume 16, Issue 1 pp 153—168

Identification of aging-related genes in diagnosing osteoarthritis via integrating bioinformatics analysis and machine learning

Figure 4. Using weighted gene coexpression network analysis (WGCNA) to determine soft threshold capability. (A) The soft thresholding power β in the WGCNA was determined based on a scale-free R² (R² = 0.87). (B) Histogram of connectivity distribution and checking the scale-free topology when β = 4.