Supplementary files for generalization manuscript

Figures and raw data for manuscript: "Smaller models do not exhibit superior generalization performance". Includes the following files:best_vs_smallest.zip: TSV files containing results of "best" vs. "smallest good" experiments (LASSO parameters and performance measurements), for each gene in Vogelstein et al. 2013 datasettcga_ccle_all_genes_figures.zip: Figures (performance curves, model sparsity, best vs. smallest good results) for TCGA <-> CCLE generalization, for each gene in Vogelstein et al. 2013 datasetcancer_type_all_genes_figures.zip: Figures for cancer type generalization experiments, for each gene/cancer type combination in the datasettcga_ccle_raw_results.zip: TSV files containing performance results (AUROC, AUPR) for TCGA -> CCLE generalization, for each gene on each of 8 cross-validation folds (4-fold CV x 2 random seeds), for each LASSO parameterccle_tcga_raw_results.zip: Same as above, for CCLE -> TCGA generalizationcancer_type_raw_results.zip: Same as above, for cancer type holdout generalization experiments on TCGAtcga_ccle_nn_raw_results.zip: Same as above, for TCGA -> CCLE generalization using a fully-connected neural network, with hidden layer size (rather than LASSO parameter) as the regularization axis