Figure - PMC

Skip to main content

An official website of the United States government

Here's how you know

Here's how you know

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS
A lock ( ) or https:// means you've safely connected to the .gov website. Share sensitive information only on official, secure websites.

View full-text article in PMC

. 2021 Sep 20;12:705154. doi: 10.3389/fendo.2021.705154

Search in PMC
Search in PubMed
View in NLM Catalog
Add to search

Copyright © 2021 Dai, Xie, Zhang, Zhong, Wang, Jiang, He, Liu, Zeng and Wang

This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

PMC Copyright notice

Identification of modules associated with diabetic cardiomyopathy using 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) Histogram of connectivity distribution when β=12. (D) Checking the scale-free topology when β=12. Identification of modules associated with diabetic cardiomyopathy. (E) Dendrogram of the top 25% most variant genes clustered based on a dissimilarity measure (1-TOM). (F) Module eigengene dendrogram and eigengene network heatmap summarize the modules yielded in the clustering analysis. (G) Heatmap of the correlation between module eigengenes and diabetic cardiomyopathy. (H) Distribution of average gene significance and errors in the modules associated with diabetic cardiomyopathy. TOM, Topological Overlap Matrix.