Analyzing and Visualizing Differential Correlation Networks in
Biological Data
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Documentation for package ‘DiffCorr’ version 0.4.4
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 |
| 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 |