Calculates and plots the size of the largest maximal clique (the so-called clique number or maximum clique size) as function of the non-rejection rate.
Calculates the sample covariance matrix, just as the function cov() but returning a dspMatrix-class object which efficiently stores such a dense symmetric matrix.
Estimates functional coherence for a given transcriptional regulatory network specified either as an adjacency matrix with a list of transcription factor gene identifiers or as a list of transcriptional regulatory modules, whose element names determine which genes encode for transcription factor proteins.
Builds a positive definite matrix from an undirected graph G that can be used as a covariance matrix for a Gaussian graphical model with graph G. The inverse of the resulting matrix contains zeroes at the missing edges of the given undirected graph G.
providing 
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