pathway_name | R Documentation |
Accessors for a padmaResults object.
pathway_name(object, ...) pathway_gene_deviation(object, ...) MFA_results(object, ...) ngenes(object, ...) imputed_genes(object, ...) removed_genes(object, ...) ## S4 method for signature 'padmaResults' pathway_name(object) ## S4 method for signature 'padmaResults' MFA_results(object) ## S4 method for signature 'padmaResults' ngenes(object) ## S4 method for signature 'padmaResults' imputed_genes(object) ## S4 method for signature 'padmaResults' removed_genes(object) ## S4 method for signature 'padmaResults' pathway_gene_deviation(object) ## S4 method for signature 'padmaResults' show(object)
object |
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Additional optional parameters |
Output varies depending on the method.
Andrea Rau
LUAD_subset <- padma::LUAD_subset ## Create MultiAssayExperiment object with LUAD data omics_data <- list(rnaseq = as.matrix(LUAD_subset$rnaseq), methyl = as.matrix(LUAD_subset$methyl), mirna = as.matrix(LUAD_subset$mirna), cna = as.matrix(LUAD_subset$cna)) pheno_data <- data.frame(LUAD_subset$clinical, row.names = LUAD_subset$clinical$bcr_patient_barcode) mae <- suppressMessages( MultiAssayExperiment::MultiAssayExperiment( experiments = omics_data, colData = pheno_data)) ## Run padma run_padma <- padma(mae, gene_map = padma::mirtarbase, pathway_name = "c2_cp_BIOCARTA_D4GDI_PATHWAY", verbose = FALSE) summary(run_padma) ## padma plots ## Not run: factorMap(run_padma, dim_x = 1, dim_y = 2) factorMap(run_padma, dim_x = 1, dim_y = 2, partial_id = "TCGA-78-7536") omicsContrib(run_padma, max_dim = 10) ## End(Not run)
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