Build MultiClass Pair-Based Classifiers using TSPs or RF

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Documentation for package ‘multiclassPairs’ version 0.4.3

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

Help Pages

do_dunn_test	internal function
filter_genes_TSP	Filter genes/features for multiclass one-vs-rest classifier downstream training
group_TSP	Internal function: for grouping labels for one-vs-rest usage
optimize_RF	Optimize parameters to be used in training the final RF model
plot_binary_RF	Plot binary rule-based heatmaps
plot_binary_TSP	Plot binary rule-based heatmaps
predict_one_vs_rest_TSP	Predict sample class based on one-vs-rest multiclass top score pairs classifier
predict_RF	Predict sample class based on gene pair-based random forest classifier
print-method	Methods for Function 'print' in Package 'multiclassPairs'
print-methods	Methods for Function 'print' in Package 'multiclassPairs'
proximity_matrix_RF	Plot binary rule-based heatmaps
ReadData	Function for preparing data object
sort_genes_RF	Sort genes/features for pair-based random forest classifier downstream steps
sort_rules_RF	Create and sort feature/gene pairs for pair-based random forest classifier training step
summary_genes_RF	Summarize sorted genes to rules
train_one_vs_rest_TSP	Build multiclass rule-based classifier as one-vs-rest scheme
train_RF	Train pair-based random forest model