Man pages for immunaut
Machine Learning Immunogenicity and Vaccine Response Analysis
| auto_simon_ml | Automated Machine Learning Model Building |
| calculate_tsne | Perform t-Distributed Stochastic Neighbor Embedding (t-SNE) |
| castAllStringsToNA | Cast All Strings to NA |
| cluster_tsne_density | Perform Density-Based Clustering on t-SNE Results Using... |
| cluster_tsne_hierarchical | Perform Hierarchical Clustering on t-SNE Results |
| cluster_tsne_knn_louvain | Perform KNN and Louvain Clustering on t-SNE Results |
| cluster_tsne_mclust | Apply Mclust Clustering on t-SNE Results |
| find_optimal_resolution | Find Optimal Resolution for Louvain Clustering |
| generate_demo_data | Generate a Demo Dataset with Specified Number of Clusters and... |
| generate_file_header | Generate a File Header |
| immunaut | Main function to carry out Immunaut Analysis |
| immunautDemo | Demo data set from immunaut package. This data is used in... |
| immunautLAIV | Demo data set from immunaut package. This data is used in... |
| isNumeric | Is Numeric |
| is_var_empty | Check if request variable is Empty |
| pick_best_cluster_modularity | Pick Best Cluster by Modularity |
| pick_best_cluster_overall | Pick the Best Clustering Result Based on Multiple Metrics |
| pick_best_cluster_silhouette | Pick Best Cluster by Silhouette Score |
| pick_best_cluster_simon | Select the Best Clustering Based on Weighted Scores: AUROC,... |
| plot_clustered_tsne | Plot Clustered t-SNE Results |
| preProcessData | Preprocess a Dataset Using Specified Methods |
| preProcessResample | Pre-process and Resample Dataset |
| remove_outliers | Remove Outliers Based on Cluster Information |
