Multi-Omic Differentially Expressed Gene-Gene Pairs


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Documentation for package ‘multiDEGGs’ version 1.1.0

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.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