block_preproc           Block-level preprocessing
block_weights_heatmap   block_weights_heatmap
cc_preproc              Centered Column Profile Pre-processing
col_preproc             Centered Column Profile Pre-processing
data_blocks             NCI-60 Multi-Omics Data
deflate_block_bl        Deflation via block loadings
deflate_block_gs        Deflation via global scores
extract_from_mae        Extract a list of harmonized data matrices from
                        an MAE object
get_colors              Assigning colors to different omics
get_metadata_colors     Assigning colors to different values of a
                        metadata column
get_tv                  Computes the total variance of a multi-omics
                        dataset
global_scores_eigenvalues_plot
                        global_scores_eigenvalues_plot
global_scores_heatmap   Plotting a heatmap of global factors scores
                        (sample v. factors)
gsea_report             Perform biological annotation-based comparison
metadata_NCI60          NCI-60 Multi-Omics Metadata
nipals_iter             NIPALS Iteration
nipals_multiblock       Main NIPALS computation loop
NipalsResult-class      An S4 class to contain results computed with
                        'nipals_multiblock()'
nmb_get_bl              Accessor function for block loadings
nmb_get_bs              Accessor function for block scores
nmb_get_bs_weights      Accessor function for block score weights
nmb_get_eigs            Accessor function for eigenvalues
nmb_get_gl              Accessor function for global loadings
nmb_get_gs              Accessor function for global scores
nmb_get_metadata        Accessor function for metadata
ord_loadings            Ranked global loadings dataframe
predict_gs              Prediction of new global scores based on block
                        loadings and weights
projection_plot         projection_plot
simple_mae              Create an MAE object from a list of data
                        matrices and column data
vis_load_ord            Visualize ranked loadings
vis_load_plot           Visualize all loadings on two factor axes
