Calculates consensus dissimilarity (1-cor) of given module eigengenes realized in several sets.
consensusMEDissimilarity(MEs, useAbs = FALSE, useSets = NULL, method = "consensus")Module eigengenes of the same modules in several sets.
Controls whether absolute value of correlation should be used instead of correlation in the calculation of dissimilarity.
If the consensus is to include only a selection of the given sets, this vector (or
scalar in the case of a single set) can be used to specify the selection. If NULL, all sets will
be used.
A character string giving the method to use. Allowed values are (abbreviations of)
"consensus" and "majority". The consensus dissimilarity is calculated as the
minimum of given set dissimilarities for "consensus" and as the average for "majority".
A dataframe containing the matrix of dissimilarities, with names and rownames set
appropriately.
This function calculates the
individual set dissimilarities of the given eigengenes in each set, then takes the (parallel) maximum or
average over all sets. For details on the structure of imput data, see checkSets.