feature.selection: Selection of features

In biocsuwb/EnsembleFS-package: Ensemble feature selection methods for analysis of molecular data

Selection of features

Description

Selection of features

Usage

feature.selection(
  x,
  y,
  methods,
  connection.method = "sum",
  params = list(adjust = "holm", feature.number = 10, alpha = 0.05)
)

Arguments

x	input data where columns are variables and rows are observations (all numeric)
y	decision variable as a boolean vector of length equal to number of observations
methods	the name of the selection method for traits available in this library
connection.method	method of combining selection results if more than one method is selected, options 'sum' for the sum of all selected filtration methods or 'intersect' for part of the common
params	A list parameters required for this method of feature selection

Details

Uses the methods of selection of features available in this library

Value

A new data.frame consisting of the selected functions and the decision variable

Examples

## Not run: 

class <- data$class
data$class <- NULL

feature.selection(x = data,
                  y = class,
                  methods = c('fs.utest','fs.mdfs.1D', 'fs.mrmr', 'fs.mcfs'),
                  connection.method = 'sum',
                  params = list(feature.number=100, adjust = 'holm', alpha = 0.05))

## End(Not run)

biocsuwb/EnsembleFS-package documentation built on Dec. 9, 2024, 5:32 p.m.