# Build MultiClass Pair-Based Classifiers using TSPs or RF

## 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