The current function transforms a galgo.Obj
to a data.frame
toDataFrame(output)
output | An object of class |
---|
The current function restructurates a galgo.Obj
to a more easy to understand an use data.frame
. The output data.frame
has \( m x n\) dimensions, were the rownames (\(m\)) are the solutions obtained by the galgo
algorithm. The columns has the following structure:
Genes: The features included in each solution in form of a list
k: The number of partitions found in that solution
SC.Fit: The average silhouette coefficient of the partitions found
Surv.Fit: The survival fitness value
Rank: The solution rank
CrowD: The solution crowding distance related to the rest of the solutions
if (FALSE) { #Load data rna_luad <- use_rna_luad() TCGA_expr <- rna_luad$TCGA$expression_matrix TCGA_clinic <- rna_luad$TCGA$pheno_data OS <- survival::Surv(time=TCGA_clinic$time,event=TCGA_clinic$status) #Run galgo output <- galgoR::galgo(generations = 10 ,population = 30, prob_matrix = TCGA_expr, OS = OS) outputDF <- toDataFrame(output) }