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Fig. 1 | Journal of Translational Medicine

Fig. 1

From: Characterizing hub biomarkers for post-transplant renal fibrosis and unveiling their immunological functions through RNA sequencing and advanced machine learning techniques

Fig. 1

WGCNA analysis identified core modules associated with renal fibrosis. A Analysis of the scale-free fit index for various soft-thresholding powers (β) and the mean connectivity for various soft-thresholding powers. B The dendrogram of all genes is clustered based on a dissimilarity measure (1-TOM). C The heatmap shows six modules were identified between Normal and RIF. Red and blue represents a positive/negative correlation between MEs and samples

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Journal of Translational Medicine

ISSN: 1479-5876

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