trainCS.Rd
The function runs trainCS_gene over the entire set of genes needed for deconvolution from the reference dataset.
trainCS( yref, yref_need, seed = 1218, method = c("lar", "lasso", "enet", "ridge", "l1", "TV", "l2"), par = T, n.cores, lambda = 0.1 )
yref | matrix, numeric expression matrix for target genes |
---|---|
yref_need | matrix, numeric expression matrix of needed genes |
seed | numeric, random seed |
method | vector, character vector of optimization methods |
par | logical, T/F for parallelization |
n.cores | numeric, number of cores |
lambda | numeric, penalty paramemter for non-linear optimization |
list with coefficients and predictive R2