Ac3net.filtersames The correlations of the same variables are set to zero as they are likly to have the maximum correlations already.
An adjacency matrix, where the element at row i and column j corresponds to the correlation or mutual information between variables row i and column j. Row and columns of the matrix must have the variable names. Row names must be available.
Ac3net.filtersames takes an adjacency matrix with variable names are on the rows. Then it sets 0 for the self correlations of the variables by checking their names.
Ac3net.filtersames returns an adjacency matrix with no self dependency.
G. Altay,"Directed Conservative Causal Core Gene Networks", bioRxiv, 2018.
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# data(expdata) # mim <- cor(t(expdata), method = 'pearson') # mim <- Ac3net.filtersames(mim)
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