Research Paper Volume 15, Issue 12 pp 5592—5610
Significance of liquid-liquid phase separation (LLPS)-related genes in breast cancer: a multi-omics analysis
Figure 1. Weighted Co-expression Network Analysis (WGCNA). (A) When the soft domain value is set to 6, data becomes stable and is suitable for WGCNA. (B) Merging of modules. The minimum number of genes for modules was 100, deepSplit = 3, and cutHight =0.4. Finally, 14 non-grey modules were obtained. (C) Brown and midnightblue modules were most strongly correlated with LLPS (cor = 0.71&p<0.001 and cor = 0.49&p<0.001). (D, E) In brown and midnightblue modules, there was a strong positive correlation between module membership and gene importance (cor = 0.78&p<0.001, cor = 0.59&p<0.001).