plot_accuracy_sensitivity_specificity: list of plots for (1) accuracy and (2) sensitivity +...

In biomedbigdata/SPONGE: Sparse Partial Correlations On Gene Expression

list of plots for (1) accuracy and (2) sensitivity + specificity (see Boniolo and Hoffmann 2022 et al. Fig. 3a and Fig. 3b)

Description

list of plots for (1) accuracy and (2) sensitivity + specificity (see Boniolo and Hoffmann 2022 et al. Fig. 3a and Fig. 3b)

Usage

plot_accuracy_sensitivity_specificity(
  trained_model,
  central_genes_model = NA,
  all_expression_model = NA,
  random_model,
  training_dataset_name = "TCGA",
  testing_dataset_name = "TCGA",
  subtypes
)

Arguments

trained_model	returned from train_and_test_model
central_genes_model	returned from build_classifier_central_genes()
all_expression_model	training and testing like central_genes_model but on ALL common expression data
random_model	returned from train_and_test_model using the randomization
training_dataset_name	name of training (e.g., TCGA)
testing_dataset_name	name of testing set (e.g., METABRIC)
subtypes	array of subtypes (e.g., c("Normal", "LumA", "LumB", "Her2", "Basal"))

Value

list of plots for (1) accuracy and (2) sensitivity + specificity

biomedbigdata/SPONGE documentation built on Feb. 6, 2023, 10:19 p.m.