Wrapper to train compression matrix

The function estimates the best set of coefficients for a given gene from the target genes.

trainCS_gene(
  need,
  train,
  seed,
  method = c("lar", "lasso", "enet", "ridge", "l1", "TV", "l2"),
  n.cores,
  lambda = 0.1
)

Arguments

need

vector, numeric expression vector for a needed gene
train

matrix, numeric expression matrix for target genes
seed

numeric, random seed
method

vector, character vector of optimization methods
n.cores

numeric, number of cores
lambda

numeric, penalty paramemter for non-linear optimization
par

logical, T/F for parallelization

Value

list with coefficients and predictive R2