Calculation of branch dissimilarity based on eigennodes (eigengenes) in single set and multi-data situations. This function is used as a plugin for the dynamicTreeCut package and the user should not call this function directly. This function is experimental and subject to change.
branchEigengeneDissim(
expr,
branch1, branch2,
corFnc = cor, corOptions = list(use = "p"),
signed = TRUE, ...)mtd.branchEigengeneDissim(
multiExpr,
branch1, branch2,
corFnc = cor, corOptions = list(use = 'p'),
consensusQuantile = 0,
signed = TRUE, reproduceQuantileError = FALSE, ...)
Expression data.
Expression data in multi-set format.
Branch 1.
Branch 2.
Correlation function.
Other arguments to the correlation function.
Consensus quantile.
Should the network be considered signed?
Logical: should an error in the calculation from previous versions, which
caused the true consensus quantile to be 1-consensusQuantile
rather than consensusQuantile
,
be reproduced? Use this only to reproduce old calculations.
Other arguments for compatibility; currently unused.
A single number or a list containing details of the calculation.