# Run example
#setwd("~/Google Drive/example_files")
comparison_result <- run_comparison(available_data_types=c("mut", "cna", "exp"),
mut_data_type_weight = 1/3,
cna_data_type_weight = 1/3,
exp_data_type_weight = 1/3,
cna_default_weight=0.01,
mut_default_weight=0.01,
exp_default_weight=0.01,
cna_known_cancer_gene_weight=0.1,
mut_known_cancer_gene_weight=0.1,
exp_known_cancer_gene_weight=0.1,
tumor_mut_file="tumor_mut.txt",
tumor_cna_file="tumor_cna.txt",
tumor_exp_file="tumor_exp.txt",
cell_line_mut_file="cell_line_mut.txt",
cell_line_cna_file="cell_line_cna.txt",
cell_line_exp_file="cell_line_exp.txt",
known_cancer_gene_weights_mut_file="default_weights_for_known_cancer_genes_mut.txt",
known_cancer_gene_weights_cna_file="default_weights_for_known_cancer_genes_cna.txt",
known_cancer_gene_weights_exp_file="default_weights_for_known_cancer_genes_exp.txt",
cancer_specific_gene_weights_mut_file="Genes_and_weights_mut.txt",
cancer_specific_gene_weights_cna_file="Genes_and_weights_cna.txt",
cancer_specific_gene_weights_exp_file="Genes_and_weights_exp.txt",
#distance_similarity_measures=c("generalized_jaccard", "generalized_jaccard", "weighted_correlation"))
distance_similarity_measures=c("generalized_jaccard", "generalized_jaccard", "generalized_jaccard"))
categorization_list <- categorize_cell_lines(num_tumors_for_comparison= length(comparison_result$tumor_ids) - 1,
comparison_result$dist_mat,
comparison_result$cell_line_ids,
comparison_result$tumor_ids,
trim_cell_line_names=FALSE)
plot_mds(comparison_result,
categorization_list,
trim_cell_line_names=FALSE,
tumor_color="blue",
cell_line_color="orange",
use_gradient=TRUE,
tumor_shape=20,
cell_line_shape=17)
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