ClassVectoringDT        Generating a class vector to be used for the
                        decision tree analysis.
ClustDiffGenes          ClustDiffGenes
Clustexp                Clustering of single-cell transcriptome data
DEGanalysis             Determining differentially expressed genes
                        (DEGs) between all individual clusters.
DEGanalysis2clust       Determining differentially expressed genes
                        (DEGs) between two particular clusters.
DISCBIO                 The DISCBIO Class
DISCBIO2SingleCellExperiment
                        Convert a DISCBIO object to a
                        SingleCellExperiment.
Exprmclust              Performing Model-based clustering on expression
                        values
FinalPreprocessing      Final Preprocessing
FindOutliers            Inference of outlier cells
HumanMouseGeneIds       Human and Mouse Gene Identifiers.
J48DT                   J48 Decision Tree
J48DTeval               Evaluating the performance of the J48 decision
                        tree.
Jaccard                 Jaccard’s similarity
KmeanOrder              Pseudo-time ordering based on k-means clusters
NetAnalysis             Networking analysis.
Networking              Plotting the network.
NoiseFiltering          Noise Filtering
Normalizedata           Normalizing and filtering
PCAplotSymbols          Plot PCA symbols
PPI                     Defining protein-protein interactions (PPI)
                        over a list of genes,
PlotMBpca               Plotting pseudo-time ordering or gene
                        expression in Model-based clustering in PCA
PlotmclustMB            Plotting the Model-based clusters in PCA.
RpartDT                 RPART Decision Tree
RpartEVAL               Evaluating the performance of the RPART
                        Decision Tree.
VolcanoPlot             Volcano Plot
as.DISCBIO              Convert Single Cell Data Objects to DISCBIO.
check.format            Check format
clustheatmap            Plotting clusters in a heatmap representation
                        of the cell distances
comptSNE                Computing tSNE
customConvertFeats      Automatic Feature Id Conversion.
foldchange.seq.twoclass.unpaired
                        Foldchange of twoclass unpaired sequencing data
plotExptSNE             Highlighting gene expression in the t-SNE map
plotGap                 Plotting Gap Statistics
plotLabelstSNE          tSNE map with labels
plotOrderTsne           Plotting the pseudo-time ordering in the t-SNE
                        map
plotSilhouette          Silhouette Plot for K-means clustering
plotSymbolstSNE         tSNE map for K-means clustering with symbols
plottSNE                tSNE map
prepExampleDataset      Prepare Example Dataset
pseudoTimeOrdering      Pseudo-time ordering
rankcols                Rank columns
reformatSiggenes        Reformat Siggenes Table
replaceDecimals         Replace Decimals
resa                    Resampling
retrieveURL             Retries a URL
sammy                   Significance analysis of microarrays
samr.estimate.depth     Estimate sequencing depths
valuesG1msTest          Single-cells data from a myxoid liposarcoma
                        cell line
wilcoxon.unpaired.seq.func
                        Twoclass Wilcoxon statistics
