R: Multi-Omic Differentially Expressed Gene-Gene Pairs

# Multi-Omic Differentially Expressed Gene-Gene Pairs

## Documentation for package ‘multiDEGGs’ version 1.2.1

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

## Help Pages

.predict_multiDEGGs | Predict method for multiDEGGs_filter objects
calc_pvalues_network | Calculate the p values for specific category network samples
calc_pvalues_percentile | Compute interaction p values for a single percentile value
cat_parallel | cat_parallel (from nestedcv)
get_diffNetworks | Generate multi-omic differential networks
get_diffNetworks_singleOmic | Generate differential networks for single omic analysis
get_multiOmics_diffNetworks | Get a table of all significant interactions across categories
get_sig_deggs | Get a table of all the significant interactions across categories
multiDEGGs_combined_filter | Combined multiDEGGs filter
multiDEGGs_filter | multiDEGGs_filter
my_palette | Internal function for colors
node_boxplot | Boxplots of single nodes (genes,proteins, etc.)
plot_regressions | Plot differential regressions for a link
predict.multiDEGGs_filter | Wrapper of .predict_multiDEGGs for multiDEGGs_filter()
predict.multiDEGGs_filter_combined | Wrapper of .predict_multiDEGGs for multiDEGGs_filter_combined()
synthetic_metadata | Synthetic clinical data
synthetic_OlinkData | Synthetic RNA-seq count data
synthetic_proteomicData | Synthetic RNA-seq count data
synthetic_rnaseqData | Synthetic RNA-seq count data
tidy_metadata | Tidying up of metadata. Samples belonging to undesidered categories (if specified) will be removed as well as categories with less than five samples, and NAs.
View_diffNetworks | Interactive visualisation of differential networks