GSgalgoR-package        GSgalgoR: A bi-objective evolutionary
                        meta-heuristic to identify robust
                        transcriptomic classifiers associated with
                        patient outcome across multiple cancer types.
calculate_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                   GSgalgoR main function
galgo.Obj-class         Galgo Object class
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
