The current function transforms a galgo.Obj to a data.frame

toDataFrame(output)

Arguments

output

An object of class galgo.Obj

Value

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:

  1. Genes: The features included in each solution in form of a list

  2. k: The number of partitions found in that solution

  3. SC.Fit: The average silhouette coefficient of the partitions found

  4. Surv.Fit: The survival fitness value

  5. Rank: The solution rank

  6. CrowD: The solution crowding distance related to the rest of the solutions

Examples

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) }