cal_score               calculate combined score
cal_score_init          Calculate score for each feature in each cell
gs_score                compute overall score based on the given marker
                        list
gs_score_init           Calculate scores of each cell on given features
iae                     standard inverse average expression
iae_hdb                 inverse average expression using hdbscan
                        cluster as label
iae_igm                 labeled inverse average expression: IGM
iae_m                   inverse average expression: max
iae_prob                labeled inverse average expression: probability
                        based
iae_rf                  labeled inverse average expression: relative
                        frequency
iae_sd                  inverse average expression using standard
                        deviation (SD)
idf                     standard inverse cell frequency
idf_hdb                 inverse document frequency using hdbscan
                        cluster as label
idf_iae_methods         Get names of available IDF and IAE methods
idf_igm                 labeled inverse cell frequency: IGM
idf_m                   inverse cell frequency: max
idf_prob                labeled inverse cell frequency: probability
                        based
idf_rf                  labeled inverse cell frequency: relative
                        frequency
idf_sd                  inverse cell frequency using standard deviation
                        (SD)
markers_hdbscan         select markers using HDBSCAN method
markers_mclust          select markers using mclust EM method
markers_mixmdl          select markers using mixtools EM method
ova_score_boxplot       boxplot of features overall score
scale_mgm               scale by mean of group mean for imbalanced data
score_barplot           barplot of processed score
sim_sce_test            scRNA-seq test data of 4 groups simulated by
                        'splatter'.
sin_score_boxplot       boxplot of split single feature score
tf                      compute term/feature frequency within each cell
top_markers             scale score and return top markers
top_markers_abs         calculate group median, MAD or mean score and
                        order genes based on scores
top_markers_glm         calculate group mean score using glm and order
                        genes based on scores difference
top_markers_init        compute group summarized score and order genes
                        based on processed scores
