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Fig. 2 | BMC Bioinformatics

Fig. 2

From: Establishment and validation of a predictive model of preeclampsia based on transcriptional signatures of 43 genes in decidua basalis and peripheral blood

Fig. 2

Determination of soft-thresholding power and weighted gene co-expression network analysis (WGCNA) correlation network results of preeclampsia. A The analysis of the scale-free fit index for various soft-thresholding powers (β). B The analysis of the mean connectivity for various soft-thresholding powers. C The cluster dendrogram, with dissimilarity determined by topological overlaps, along with assigned module colors. WGCNA can be used to group genes into five distinct module eigengenes (MEs) based on their co-expression patterns

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