acore | Extraction of alpha cores for soft clusters |
cselection | Repeated soft clustering for detection of empty clusters for... |
Dmin | Calculation of minimum centroid distance for a range of... |
fill.NA | Replacement of missing values |
filter.NA | Filtering of genes based on number of non-available... |
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 |
membership | Calculating of membership values for new data based on... |
mestimate | Estimate for optimal fuzzifier m |
mfuzz | Function for soft clustering based on fuzzy c-means. |
mfuzzColorBar | Plots a colour bar |
Mfuzzgui | Graphical user interface for Mfuzz package |
mfuzz.plot | Plotting results for soft clustering |
mfuzz.plot2 | Plotting results for soft clustering with additional options |
overlap | Calculation of the overlap of soft clusters |
overlap.plot | Visualisation of cluster overlap and global clustering... |
partcoef | Calculation of the partition coefficient matrix for soft... |
randomise | Randomisation of data |
standardise | Standardization of expression 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... |
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 |
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