ABC.SingleInMultiple    Single-source ABC clustering
ADC                     Aggregated data clustering
ADEC                    Aggregated data ensemble clustering
BinFeaturesPlot_MultipleData
                        Visualization of characteristic binary features
                        of multiple data sets
BinFeaturesPlot_SingleData
                        Visualization of characteristic binary features
                        of a single data set
BoxPlotDistance         Box plots of one distance matrix categorized
                        against another distance matrix.
CEC                     Complementary ensemble clustering
CVAA                    Cumulative voting-based aggregation algorithm
CharacteristicFeatures
                        Determining the characteristic features of a
                        cluster
ChooseCluster           Interactive plot to determine DE Genes and DE
                        features for a specific cluster
Cluster                 Single source clustering
ClusterCols             Matching clusters with colours
ClusterPlot             Colouring clusters in a dendrogram
ClusteringAggregation   Clustering aggregation
ColorPalette            Create a color palette to be used in the plots
Colors1                 Colour examples
ColorsNames             Function that annotates colors to their names
CompareInteractive      Interactive comparison of clustering results
                        for a specific cluster or method.
ComparePlot             Comparison of clustering results over multiple
                        results
CompareSilCluster       Compares medoid clustering results based on
                        silhouette widths
CompareSvsM             Comparison of clustering results for the single
                        and multiple source clustering.
ConsensusClustering     Consensus clustering
ContFeaturesPlot        Plot of continuous features
DetermineWeight_SilClust
                        Determines an optimal weight for weighted
                        clustering by silhouettes widths.
DetermineWeight_SimClust
                        Determines an optimal weight for weighted
                        clustering by similarity weighted clustering.
DiffGenes               Differential gene expressions for multiple
                        results
DiffGenesSelection      Differential expression for a selection of
                        objects
Distance                Distance calculation
EHC                     Ensemble for hierarchical clustering
EnsembleClustering      Ensemble clustering
EvidenceAccumulation    Evidence accumulation
FeatSelection           feature selection for a selection of objects
FeaturesOfCluster       List all features present in a selected cluster
                        of objects
FindCluster             Find a selection of objects in the output of
                        'ReorderToReference'
FindElement             Find an element in a data structure
FindGenes               Investigates whether genes are differential
                        expressed in multiple clusters
GS                      List of GO Annotations
GeneInfo                Information of the genes Gene info in a data
                        frame
Geneset.intersect       Intersection over resulting gene sets of
                        'PathwaysIter' function
Geneset.intersectSelection
                        Intersection over resulting gene sets of
                        'PathwaysIter' function for a selection of
                        objects
HBGF                    Hybrid bipartite graph formulation
HeatmapPlot             Comparing two clustering results with a heatmap
HeatmapSelection        A function to select a group of objects via the
                        similarity heatmap.
HierarchicalEnsembleClustering
                        Hierarchical ensemble clustering
IntClust                Integrated Clustering Methods.
LabelCols               Colouring labels
LabelPlot               Coloring specific leaves of a dendrogram
LinkBasedClustering     Link based clustering
M_ABC                   Multi-source ABC clustering
Normalization           Normalization of features
PathwayAnalysis         Pathway Analysis
Pathways                Pathway analysis for multiple clustering
                        results
PathwaysIter            Iterations of the pathway analysis
PathwaysSelection       Pathway analysis for a selection of objects
PlotPathways            A GO plot of a pathway analysis output.
PreparePathway          Preparing a data set for pathway analysis
ProfilePlot             Plotting gene profiles
ReorderToReference      Order the outputs of the clustering methods
                        against a reference
SNF                     Similarity network fusion
SelectnrClusters        Determines an optimal number of clusters based
                        on silhouette widths
SharedComps             Intersection of clusters across multiple
                        methods
SharedGenesPathsFeat    Intersection of genes and pathways over
                        multiple methods
SharedSelection         Intersection of genes and pathways over
                        multiple methods for a selection of objects.
SharedSelectionLimma    Intersection of genes over multiple methods for
                        a selection of objects.
SharedSelectionMLP      Intersection of pathways over multiple methods
                        for a selection of objects.
SimilarityHeatmap       A heatmap of similarity values between objects
SimilarityMeasure       A measure of similarity for the outputs of the
                        different methods
TrackCluster            Follow a cluster over multiple methods
WeightedClust           Weighted clustering
WonM                    Weighting on membership
distanceheatmaps        Determine the distance in a heatmap
f.clustABC.MultiSource
                        f.clustABC.MultiSoucre
f.gsample               f.gsample
f.rmv                   f.rmv
f.t                     ff
fingerprintMat          Fingerprint data
geneMat                 Gene expression data
targetMat               Target prediction data
