PathwaysSelection: Pathway analysis for a selection of objects
In IntClust: Integration of Multiple Data Sets with Clustering Techniques

Internal function of Pathways.

PathwaysSelection(List = NULL, Selection, geneExpr = NULL,
  nrclusters = NULL, method = c("limma", "MLP"), geneInfo = NULL,
  geneSetSource = "GOBP", topP = NULL, topG = NULL, GENESET = NULL,
  sign = 0.05, fusionsLog = TRUE, weightclust = TRUE, names = NULL)

`List`	A list of clustering outputs or output of the`DiffGenes` function. The first element of the list will be used as the reference in `ReorderToReference`. The output of `ChooseFeatures` is also accepted.
`Selection`	If pathway analysis should be conducted for a specific selection of objects, this selection can be provided here. Selection can be of the type "character" (names of the objects) or "numeric" (the number of specific cluster). Default is NULL.
`geneExpr`	The gene expression matrix or ExpressionSet of the objects. The rows should correspond with the genes.
`nrclusters`	Optional. The number of clusters to cut the dendrogram in. The number of clusters should not be specified if the interest lies only in a specific selection of objects which is known by name. Otherwise, it is required. Default is NULL.
`method`	The method to applied to look for differentially expressed genes and related pathways. For now, only the limma method is available for gene analysis and the MLP method for pathway analysis. Default is c("limma","MLP").
`geneInfo`	A data frame with at least the columns ENTREZID and SYMBOL. This is necessary to connect the symbolic names of the genes with their EntrezID in the correct order. The order of the gene is here not in the order of the rownames of the gene expression matrix but in the order of their significance. Default is NULL.
`geneSetSource`	The source for the getGeneSets function, defaults to "GOBP".
`topP`	Overrules sign. The number of pathways to display for each cluster. If not specified, only the significant genes are shown. Default is NULL.
`topG`	Overrules sign. The number of top genes to be returned in the result. If not specified, only the significant genes are shown. Defaults is NULL.
`GENESET`	Optional. Can provide own candidate gene sets. Default is NULL.
`sign`	The significance level to be handled. Default is 0.05.
`fusionsLog`	Logical. To be handed to `ReorderToReference`: indicator for the fusion of clusters. Default is TRUE
`weightclust`	Logical. To be handed to `ReorderToReference`: to be used for the outputs of CEC, WeightedClust or WeightedSimClust. If TRUE, only the result of the Clust element is considered. Default is TRUE.
`names`	Optional. Names of the methods. Default is NULL.