orderMEs
; the dissimilarity used can be of consensus
type (for each pair of eigenvectors the consensus dissimilarity is the maximum of individual set
dissimilarities over all sets) or of majority type (for each pair of eigenvectors the consensus
dissimilarity is the average of individual set dissimilarities over all sets).consensusOrderMEs(MEs, useAbs = FALSE, useSets = NULL,
greyLast = TRUE,
greyName = paste(moduleColor.getMEprefix(), "grey", sep=""),
method = "consensus")
checkSets
). A
vector of lists, with each list corresponding to one dataset and the module eigengenes in the component
data
, that iFALSE
."consensus"
and "majority"
. The consensus dissimilarity is calculated as the
maximum of given set disMEs
containing the re-ordered eigengenes.useSets
(defaults to all sets).
A hierarchical dendrogram is calculated using the dissimilarity and the order given by the dendrogram is
used for the eigengenes in all other sets.moduleEigengenes
, multiSetMEs
, orderMEs