# Differential Co-expression Analysis and Differential Regulation Analysis of Gene Expression Microarray Data

## Documentation for package ‘DCGL’ version 2.1.2

- DESCRIPTION file.

## Help Pages

DCGL-package | Differential Co-expression Analysis and Differential Regulation Analysis of Gene Expression Microarray Data
ASC | Identify DCGs (Differential Coexpressed Genes) based on 'Average Specific Connection'
DCe | Identify DCGs (Differentially Coexpressed Genes) and DCLs (Differentially Coexpressed Links)
DCGL | Differential Co-expression Analysis and Differential Regulation Analysis of Gene Expression Microarray Data
DCp | Identify DCGs (Differential Coexpressed Genes) based on the 'Differential Coexpression Profile'
DCsum | Summarize DCGs and DCLs
DRplot | Visualization of DRLs
DRrank | Ranking Regulators by Target Enrichment Density (TED) and Targets' DCL Density (TDD)
DRsort | Identify DRGs (Differential regulated Genes) and DRLs (Differential regulated Links)
expressionBasedfilter | Filter genes according to expression level
exprs | Real dataset pulled down from GEO (http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE17967)
exprs_design | Experiment design of microarray matrix data
intgenelist | Interesting genes list
LFC | Select DCLs based on 'Limit Fold Change' model
LRC | Identify DCGs (Differential Coexpressed genes) based on 'Log Ratio Connections'
percentLinkfilter | Filter gene coexpression links according to the top percent of expression correlation coefficient value
qLinkfilter | Filter gene coexpression links according to the q-values of expression correlation values
RIF | Ranking Regulators by Regulator Impact Factor (RIF) Method
rLinkfilter | Filter gene coexpression links according to correlation coefficient value
tf2target | The dataset of human Transcription Factors regulate potential target genes
varianceBasedfilter | To filter genes according to expression variability
WGCNA | Identify DCGs (Differential Coexpressed Genes) based on the 'Weighted Gene Coexpression Network Analysis'