MClassifier             Example cell type classifier for pbmc clustered
                        datasets.
advCGD                  Implementation of the IDG4C algorithm.
advChar-class           adverSCarial class
advGridMinChange        Grid search of min change adversarial attack.
                        Tries each combination on a cluster, given a
                        list of genes and a list of modifications.
advList-class           adverSCarial class
advMaxChange            Find a max change adversarial attack. It finds
                        the longer list of genes you can modify on a
                        cluster without changing its classification.
advModifications        Returns a modified RNA expression
                        DelayedMatrix, or a modified
                        SingleCellExperiment, for a given cluster, for
                        a given modification.
advRandWalkMinChange    Random walk search of min change adversarial
                        attack.
advSingleGene           Find a one gene min change adversarial attack
                        list. A one gene min change adversarial attack
                        refers to the modification of a single gene
                        within a cluster, leading to a change in its
                        classification. The function returns a list of
                        genes/new classification.
getSignGenes            The function getSignGenes orders the genes by
                        maximizing the significance of the gene to
                        differentiate the clusters and ensures that
                        they represent at most the variations across
                        all possible pairs of clusters.
matrixFromSCE           Returns the RNA expression matrix from a
                        SingleCellExperiment with unique hgnc gene
                        names in columns
maxChangeOverview       Gives an overview of the susceptibility to max
                        change attacks, for each cell type, for a given
                        list of modifications.
predictWithNewValue     Returns a classification and an odd value from
                        a RNA expression DelayedMatrix or a
                        SingleCellExperiment object, for given genes,
                        for a given cluster, for a given modification.
sceConvertToHGNC        Returns a SingleCellExperiment object keeping
                        unique HGNC gene
singleGeneOverview      Gives an overview of the susceptibility to
                        single gene attacks, for each cell type, for a
                        given list of modifications.
