Feature selection using lasso or elastic network — ML_alpha • MNet

Feature selection using lasso or elastic network

Usage

ML_alpha(object, method = "lasso")

Arguments

object: A dataframe-like data object containing log-metabolite intensity values, with columns corresponding to metabolites and must containing the group column, and the rows corresponding to the samples
method: the feature selection method,default is "lasso", "elastic" is optional

Value

test

Examples

library(dplyr)

meta_dat1 <- t(meta_dat) %>%
  as.data.frame() %>%
  dplyr::mutate(group=group)
result_ML_lasso <- ML_alpha(meta_dat1, method="lasso")
#> Loading required package: ggplot2
#> Loading required package: lattice
result_ML_lasso
#>   feature          s1
#> 1  C02045  0.41716402
#> 2  C00073 -0.04319325
#> 3  C03793 -0.02289240
#> 4  C00022  0.19301507
#> 5  C00255 -0.03705029