Results In the consensus gene coexpression network, we identified eight consensus modules significantly correlated with abdominal fat deposition across four broiler lines using the consensus module analysis function in the weighted gene coexpression network analysis (WGCNA) package. The eight consensus ...
We survey key concepts of weighted gene coexpression network analysis (WGCNA), also known as weighted correlation network analysis, and related data analys... P Langfelder,S Horvath 被引量: 0发表: 0年 Tutorial for quantitative gene traits from the brain 1Tutorial for the randomGLM R package:...
e, Heatmap showing the coexpression pattern of 2,873 bulk tumor transcriptomes from 14 clinical cohorts. Rows are genes; columns are patients; ordering is by unsupervised hierarchical clustering. Gene expression values are normalized as in b. CMS, iCMS and CRIS labels are indicated above the ...
Here we used quantitative mass spectrometry and coexpression network analysis to conduct the largest proteomic study thus far on AD. A protein network module linked to sugar metabolism emerged as one of the modules most significantly associated with AD pathology and cognitive impairment. This module ...