| get_panels_from_fit {ICBioMark} | R Documentation |
Extract Panel Details from Group Lasso Fit
Description
An internal function for analysing a group Lasso fit as part of the predictive model learning procedure, which returns the sets of genes identified by different iterations of the group Lasso algorithm.
Usage
get_panels_from_fit(gene_lengths, fit, gene_list, mut_types_list)
Arguments
gene_lengths |
(dataframe) A table with two columns: Hugo_Symbol and max_cds, providing the lengths of the genes to be modelled. |
fit |
(list) A fit from the group lasso algorithm, produced by the function gglasso (package: gglasso). |
gene_list |
(character) A character vector of genes listing the genes (in order) included in the model pred_fit. |
mut_types_list |
(character) A character vector listing the mutation type groupings (in order) included in the model pred_fit. |
Value
A list of two elements:
panel_genes: A matrix where each row corresponds to a gene, each column to an iteration of the group lasso with a different penalty factor, and the elements booleans specifying whether that gene was selected to be included in that iteration.
panel_lengths:
Examples
panels <- get_panels_from_fit(example_maf_data$gene_lengths, example_first_pred_tmb$fit,
example_gen_model$names$gene_list, mut_types_list = example_gen_model$names$mut_types_list)
print(panels$fit)