Calculates a summary measure of preservation of eigengene correlations across data sets
correlationPreservation(multiME, setLabels, excludeGrey = TRUE, greyLabel = "grey")consensus module eigengenes in a multi-set format. A vector of lists with one list
corresponding to each set. Each list must contain a component data that is a data frame whose
columns are consensus module eigengenes.
names to be used for the sets represented in multiME.
logical: exclude the 'grey' eigengene from preservation measure?
module label corresponding to the 'grey' module. Usually this will be the
character string "grey" if the labels are colors, and the number 0 if the labels are numeric.
A data frame whose rows correspond to consensus module eigengenes given in the input
multiME, and columns correspond to all possible set comparisons. The two sets compared in
each column are indicated in the column name.
The function calculates the preservation of correlation of each eigengene with all other eigengenes (optionally except the 'grey' eigengene) in all pairs of sets.
Langfelder P, Horvath S (2007) Eigengene networks for studying the relationships between co-expression modules. BMC Systems Biology 2007, 1:54
multiSetMEs and modulecheckSets in package moduleColor for
more on eigengenes and the multi-set format