Melissa                 'Melissa': Bayesian clustering and imputation
                        of single cell methylomes
binarise_files          Binarise CpG sites
cluster_ari             Compute clustering ARI
cluster_error           Compute clustering assignment error
                        'cluster_error' computes the clustering
                        assignment error, i.e. the average number of
                        incorrect cluster assignments: OE =
                        sum_{n=1}^{N}(I(LT_{n} \neq LP_{n})) / N
create_melissa_data_obj
                        Create methylation regions for all cells
eval_cluster_performance
                        Evaluate clustering performance
eval_imputation_performance
                        Evaluate imputation performance
extract_y               Extract responses y
filter_regions          Filtering process prior to running Melissa
impute_met_files        Impute/predict methylation files
impute_test_met         Impute/predict test methylation states
init_design_matrix      Initialise design matrices
log_sum_exp             Compute stable log-sum-exp
melissa                 Cluster and impute single cell methylomes using
                        VB
melissa_encode_dt       Synthetic ENCODE single cell methylation data
melissa_gibbs           Gibbs sampling algorithm for Melissa model
melissa_synth_dt        Synthetic single cell methylation data
partition_dataset       Partition synthetic dataset to training and
                        test set
plot_melissa_profiles   Plot predictive methylaation profiles
