Multi-Omics data integration


[Up] [Top]

Documentation for package ‘gINTomics’ version 1.2.0

Help Pages

create_multiassay MultiAssayExperiment generation
dot_plotly plotting enrichment
extract_model_res Setting method for extracting results
extract_model_res-method Setting method for extracting results
mirna_hsa miRNA IDs. Dataset containing lastly definition of miRNAs (Names, Accessions, Sequences, Families and others) from different miRBase versions (From miRBase version 6 to version 22).
mmultiassay_ov Example data for a standard workflow. This is an example dataset containing a MultiAssayExperiment of 20 ovarian cancer (OVC) patients extracted from the Cancer Genome Atlas (TCGA) database. The object contains all the available input data types: Gene expression data, miRNA expression data, gene methylation data, gene Copy Number Variations and miRNA Copy Number Variations.
MultiClass-class MultiClass Class
MultiOmics-class MultiOmics Class
plot_chr_distribution plotting chr distribution
plot_heatmap plotting heatmap
plot_network Plotting network
plot_ridge plotting ridge
plot_tf_distribution plotting TF distribution
plot_venn plotting venn
plot_volcano plotting volcano
run_cnv_integration Integration of expression and Copy Number Variations
run_genomic_enrich Running genomic enrichment analysis
run_genomic_integration Integration of expression, Copy Number Variations and methylation data
run_met_integration Integration of expression and methylation
run_multiomics Complete Multi-Omics integration
run_shiny Start a Shiny application for integrated multi-omics data analysis.
run_tf_enrich Running TF enrichment analysis
run_tf_integration Integration of expression and Transcription Factors / Generic Regulators