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. 2022 Apr 26;21:101435. doi: 10.1016/j.tranon.2022.101435

Fig. 2.

Fig 2

WGCNA for construction and identification of the interested modules. (A) Construction of scale-free network in the GSE49355 dataset; (B) Hierarchical clustering tree of genes based on topological overlap different color branches of the cluster tree represent different modules; (C) Module-trait relationships. Each row corresponds to a color module and each column correlates to a clinical trait (CRLM, primary CRC and normal tissues). Each cell contains the corresponding correlation and P-value; (D) Construction of scale-free network in the GSE81582 dataset; (E) Hierarchical clustering tree of genes based on topological overlap different color branches of the cluster tree represent different modules; (F) Module-trait relationships. Each row corresponds to a color module and each column correlates to a clinical trait (CRLM, primary CRC and normal tissues). Each cell contains the corresponding correlation and p-value. Abbreviations: WGCNA, weighted gene co-expression network analysis; CRC, colorectal cancer; CRLM, colorectal liver metastasis.