| pathway_name {padma} | 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 |
a |
... |
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)