fs.mdfs.2D: Build MultiDimensional Feature Selector from IGs uses GPU, is...

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

Build MultiDimensional Feature Selector from IGs uses GPU, is a parallel computing platform CUDA

Description

Build MultiDimensional Feature Selector from IGs uses GPU, is a parallel computing platform CUDA

Usage

fs.mdfs.2D(
  x,
  y,
  params = list(adjust = "holm", alpha = 0.05, use.cuda = FALSE)
)

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
params	A list with the following fields: adjust – method as accepted by p.adjust ("BY" is recommended for FDR, see Details) alpha – significance level for MDFS1D, MDFS2D and U-test use.cuda – whether to use CUDA acceleration (must be compiled with CUDA) for MDFS2D method

Details

Build MultiDimensional Feature Selector from IGs, requires mandatory installation of CUDA

Value

A data.frame with selected features and p.value

Examples

## Not run: 

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

fs.mdfs.2D(data, decisions, params = list(adjust = 'holm', use.cuda = FALSE))

## End(Not run)

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