DCGL-package |
Differential Coexpression Analysis of Microarray Data |
ASC |
Identify DCGs (Differentially-Coexpressed genes) based on 'Average Specific Connection' |
dataA |
Simulated dataset based on deliberately-perturbed gene regulation networks (Yu, et al., 2010) |
dataB |
Simulated dataset based on deliberately-perturbed gene regulation networks (Yu, et al., 2010) |
dataC |
Simulated dataset based on deliberately-perturbed gene regulation networks (Yu, et al., 2010) |
DCe |
To identify DCGs (Differentially-Coexpressed Genes) and DCLs (Differentially-Coexpressed Links) |
DCGL |
Differential Coexpression Analysis of Microarray Data |
DCp |
To identify DCGs (Differentially-Coexpressed genes) based on the 'Differential Coexpression Profile' |
expressionBasedfilter |
To filter genes according to expression level |
LFC |
Select DCLs based on 'Limit Fold Change' model |
LRC |
Identify DCGs (Differentially-Coexpressed genes) based on 'Log Ratio Connections' |
percentLinkfilter |
To filter gene coexpression links according to the max expression correlation value |
qLinkfilter |
To filter gene coexpression links according to the q-values of expression correlation values |
systematicLinkfilter |
A systematic procedure for estimating a cutoff threshold of coexpression networks |
varianceBasedfilter |
To filter genes according to expression variability |
WGCNA |
To identify DCGs (Differentially-Coexpressed genes) based on the 'Weighted Gene Coexpression Network Analysis' |