Function reference • GSgalgoR

All functions
`GSgalgoR-package`	GSgalgoR: A bi-objective evolutionary meta-heuristic to identify robust transcriptomic classifiers associated with patient outcome across multiple cancer types.
`calculate_distance_pearson_cpu()` `calculate_distance_spearman_cpu()` `calculate_distance_uncentered_cpu()` `calculate_distance_euclidean_cpu()` `select_distance()`	Functions to calculate distance matrices using cpu computing
`callback_base_report()`	Print basic info per generation
`callback_base_return_pop()`	A base callback function that returns a galgo.Obj
`callback_default()`	A default call_back function that does nothing.
`callback_no_report()`	Print minimal information to the user about galgo execution.
`classify_multiple()`	Classify samples from multiple centroids
`cluster_algorithm()`	Wrapper function to perform partition around medioids (PAM) for GalgoR
`cluster_classify()`	Distance to centroid classifier function
`cosine_similarity()`	Function for calculating the cosine similarity
`create_centroids()`	Create Centroids
`galgo.Obj-class`	Galgo Object class
`galgo()`	GSgalgoR main function
`k_centroids()`	Function to calculate the centroids of different groups (classes)
`non_dominated_summary()`	Summary of the non dominated solutions
`plot_pareto()`	Plot pareto front from an galgo.Obj
`surv_fitness()`	Survival fitness function using the Restricted Mean Survival Time (RMST) of each group
`to_dataframe()`	Convert galgo.Obj to data.frame
`to_list()`	Convert galgo.Obj to list

Reference