Mfuzzgui                Graphical user interface for Mfuzz package
acore                   Extraction of alpha cores for soft clusters
cselection              Repeated soft clustering for detection of empty
                        clusters
fill.NA                 Replacement of missing values
filter.NA               Filtering of genes based on number of
                        non-available expression values.
filter.std              Filtering of genes based on their standard
                        deviation.
kmeans2                 K-means clustering for gene expression data
kmeans2.plot            Plotting results for k-means clustering
mfuzz                   Function for soft clustering based on fuzzy
                        c-means.
mfuzz.plot              Plotting results for soft clustering
mfuzz.plot2             Plotting results for soft clustering with
                        additional options
mfuzzColorBar           Plots a colour bar
overlap                 Calculation of the overlap of soft clusters
overlap.plot            Visualisation of cluster overlap and global
                        clustering structure
partcoef                Calculation of the partition coefficient matrix
                        for soft clustering
randomise               Randomisation of data
standardise             Standardization of microarray data for
                        clustering.
standardise2            Standardization in regards to selected
                        time-point
table2eset              Conversion of table to Expression set object.
top.count               Determines the number for which each gene has
                        highest membership value in all cluster
yeast                   Gene expression data of the yeast cell cycle
yeast.table             Gene expression data of the yeast cell cycle as
                        table
yeast.table2            Gene expression data of the yeast cell cycle as
                        table
