An R package for quantitative integration and analysis of multiple omics assays from heterogeneous samples


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Documentation for package ‘OMICsPCA’ version 1.6.0

Help Pages

analyse_individuals Quick analysis and visualization of the individuals/annotations/rows (e.g. Tss, gene) from integrated Assay.
analyse_integrated_individuals Quick analysis and visualization of the individuals/annotations/rows (e.g. Tss, gene)
analyse_integrated_variables Quick analysis and visualization of the integrated Assays by integrate() function.
analyse_variables Quick analysis and visualization of the integrated Assays by integrate() function.
chart_correlation Pairwise correlation, scatter plot and histogram on selected groups.
cluster Cluster data points
cluster_boxplot Comparison of clusters by boxplot
cluster_parameters Detection of algorithm and number of clusters
create_group Subsets an Assay dataframe into smaller groups
descriptor Distribution of Assays as percentage of cell lines
extract extraction of projected cooordinates from "PCA" object.
extract_assay Data extraction from "MultiAssayExperiment" object
integrate_pca Integration of multiple Assays into linear combinations by PCA.
integrate_variables Integration of an experiment/ Assay done on many Cell lines/ time points into linear combinations by PCA.
intersect support function of prepareDataset
merge_cells Storage of intersected factors from multiple cell types as columns into a dataframe
plot_density Visualization of Density of various groups on Principal components
plot_density_3D Visualization of 3D Density of various groups on Principal components
plot_integrated_density Visualization of Density of various groups on Principal components of integrated assays
plot_integrated_density_3D Visualization of 3D Density of various groups on Principal components of multiple Assays
prepare_dataset Intersects and merge data from multiple experiments into a dataframe