Fig. 1: Identification of 16 BCR-associated genes based on WGCNA. | npj Digital Medicine

Fig. 1: Identification of 16 BCR-associated genes based on WGCNA.

From: Integrative machine learning models predict prostate cancer diagnosis and biochemical recurrence risk: Advancing precision oncology

Fig. 1: Identification of 16 BCR-associated genes based on WGCNA.

A Plot scale independence. B Plot average connectivity. C Draw sample clusters. D Dividing the GSE116918 sample into 11 modules. E Module-phenotype correlation heat map. F Scatter plot of correlation between gene significance and module membership. G Heatmap of BCR-related gene expression in TCGA-PRAD. H Prognostic forest plot of BCR-related genes in TCGA-PRAD. I Heatmap of correlation of biochemical relapse-related genes in TCGA-PRAD. J Differential expression of BCR-related genes in BCR and non-BCR samples in GSE116918.

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