Fig. 1: Overall workflow for co-expression module formation. | npj Precision Oncology

Fig. 1: Overall workflow for co-expression module formation.

From: Utilizing cohort-level and individual networks to predict best response in patients with metastatic triple negative breast cancer

Fig. 1

A Basal-classified BRCA TCGA reference cohort was selected (n = 152) and used to form WGCNA co-expression subnetworks (modules) labeled in terms of numbers 1–5 and colors. These subnetworks enabled the scoring of the AMTEC cohort in terms of expression summaries (eigengenes; PC1) and single-sample gene set enrichment. The subnetworks vary in size: Mod1 (turquoise) has 469 genes, Mod2 (blue) has 323, and Mod3 (brown) has 190 genes while Mod4 (yellow) and Mod5 (green) have only 48 and 42, respectively.

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