DEMIClust-class: Class 'DEMIClust'
In demi: Differential Expression from Multiple Indicators

The class DEMIClust stores the probe clusters in a DEMIClust object.

`experiment`	A `DEMIExperiment` object. Holds the `DEMIExperiment` object whose metadata (such as normalized expression values) is used to cluster the probes.
`group`	A `DEMIGroup` object. Defines the groups that are used for clustering. The `DEMIGroup` object uses CEL file names to determine which files belong to which group. It uses `grep` function to locate the group names from the CEL file names.
`clust.method`	A `function`. Defines the function used for clustering. The user can build a custom clustering function. The input of the custom function needs to be the same `DEMIClust` object and the output is a list of probes, where each list corresponds to a specific cluster. The default function is `demi.wilcox.test` that utilizes `wilcox.test`.
`cluster`	A `list`. Holds the probes of different clusters in a `list`.
`cutoff.pvalue`	A `numeric`. Sets the cut-off p-value used for determining statistical significance of the probes when clustering the probes into clusters. Default is 0.05.