.predict_multiDEGGs     Predict method for multiDEGGs_filter objects
View_diffNetworks       Interactive visualisation of differential
                        networks
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_OlinkData     Synthetic RNA-seq count data
synthetic_metadata      Synthetic clinical 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.
