Multi-omics heatmap

Multi-omics heatmap

multiomics_heatmap(
  multimodal_omics,
  metadata,
  integration_model = "iCluster",
  covariates = c("PHF1", "diagnosis"),
  omic = c("rna", "protein"),
  weights,
  de_features,
  direction = c("both", "positive", "negative"),
  cluster = NULL,
  num_features = NULL
)

Arguments

multimodal_omics

multimodal_omics list

metadata

metdata dataframe

integration_model

Possible integration methods are MOFA, DIABLO,sMBPLS,iCluster,MEIFESTO

covariates

clinical covariates

omic

rna,protein or both

weights

weights from integrative results

de_features

If integration model is clustering, use differentially expressed features

direction

positive or negative

cluster

default to NULL

num_features

default to NULL will plot all the selected features. Otherwise numerical variable to define the maximum number of features

Value

Heatmap

See also

Other Plotting: circular_corrplot(), communities_network(), community_graph(), correlation_heatmap_clusters(), correlation_heatmap_supervised(), correlation_heatmap(), getStdiz(), interactive_network(), plot_OpenTarget(), plot_communities(), plot_components(), plot_loadings(), plot_optimal_cluster(), visualise_pathway(), volcano_interactive_comparison(), volcano_interactive(), volcano_plot_deseq(), volcano_plot_limma()