R: Analyzing and Visualizing Differential Correlation Networks in Biological Data

# Analyzing and Visualizing Differential Correlation Networks in Biological Data

## Documentation for package ‘DiffCorr’ version 0.4.5

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

AraMetLeaves | A metabolite data set from Arabidopsis leaves by GC-TOF/MS
AraMetRoots | A metabolite data set from Arabidopsis roots by GC-TOF/MS
cluster.molecule | Hierarchical clustering of molecules
comp.2.cc.fdr | Export differential correlations between two conditions
compcorr | Compare two correlation coefficients
cor.dist | Additional distance functions correlation distance (1-r)
cor2.test | Correlation Test
generate_g | Generating graph from data matrix
get.eigen.molecule | Get eigen molecule
get.eigen.molecule.graph | Getting graph from eigengene module list
get.lfdr | Getting local false discovery rate (lfdr)
get.min.max | Get minimum and maximum
golub.df | A compiled expression data from Golub et al. (1999)
plotClusterMolecules | Plot cluster molecules
plotDiffCorrGroup | Plot DiffCorr group
scalingMethods | scalingMethods
uncent.cor2dist | Additional distance functions correlation distance (uncentered)
uncent.cordist | Calculating all pairwise distances using correlation distance
write.modules | Writing modules into a text file