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Classifier LundTax 5c.

classifier_lundtax_5c.Rd

Classifier as a 'rule_based_RandomForest' object. Predicts samples as one of the 5 main Lund Taxonomy molecular subtypes, Uro, GU, BaSq, Mes, or ScNE. Object includes the final RF classifier, the used genes and rules in the final model, the Boruta results, and the training matrix. The training matrix is a binary matrix containing the rule values for the training data and it is used for imputation purposes during the prediction if values are missing in the sample. This object was generated using the multiclassPairs::predict_RF() function.

Usage

data(classifier_lundtax_5c)

Format

A list of 6.

Details

A Large rule_based_RandomForest object. A list of 6.

  • genes. Genes in hgnc format.

  • rules. A set of rules for the classifier in hgnc format.

  • TrainingMatrix. Binary matrix for the rules in the training data.

  • boruta. Boruta results for the classifier.

  • RF_classifier. Random forest classifier details.

  • calls. Information on how the model was generated.