Research Paper Volume 13, Issue 6 pp 8944—8959

LncRNA-mRNA co-expression analysis discovered the diagnostic and prognostic biomarkers and potential therapeutic agents for myocardial infarction

Construction of weighted gene co-expression network and identification of disease-related modules. (A, B) Determination of soft-thresholding power in the weighted gene co-expression network analysis (WGCNA). (A) Analysis of the scale-free fit index for various soft-thresholding powers (β). (B) Analysis of the mean connectivity for various soft-thresholding powers. (C) Dendrogram of all differentially expressed genes/lncRNAs clustered based on a dissimilarity measure (1-TOM). (D) Correlation distribution of feature vectors of each module with four time points and CAD.

Figure 2. Construction of weighted gene co-expression network and identification of disease-related modules. (A, B) Determination of soft-thresholding power in the weighted gene co-expression network analysis (WGCNA). (A) Analysis of the scale-free fit index for various soft-thresholding powers (β). (B) Analysis of the mean connectivity for various soft-thresholding powers. (C) Dendrogram of all differentially expressed genes/lncRNAs clustered based on a dissimilarity measure (1-TOM). (D) Correlation distribution of feature vectors of each module with four time points and CAD.