X.calculate.predictors

Using one of the network building algorithms, cluster initial network into individual protein complexes.

Usage

X.calculate.predictors(data = NULL, features = NULL, funs = c(), prefixes = NA)

Arguments

data

Data frame with a column 'protein' and other columns with features.

features

Vector of character strings: Names of columns with features. Default is NULL, in which case all but the protein column will be taken.

funs

Vector of character strings: Functions to be used for calculation of predictors, matching the order of predictors given in vars.

prefixes

Vector of character strings: Prefixes for naming of new columns in the new table. One for each var.

Value

Data frame with all predictors for pairwise protein interactions.

Examples

feature.predictors <- X.calculate.predictors(data=features, 
      features=c("Ti","logAUC","logABL","logLoss","Penalty_trans"), 
      funs=c(rep("absdif",4),"Xsum"),
      prefixes=c(rep("d",4),"sum")
    )
#> Error: object 'features' not found