Description Usage Arguments Value Author(s) References Examples
This method first finds the time-lagged correlation method, which it then converts to a connectivity matrix. Details of algorithm and the theory behind the algorithm can be found in the references section. This method needs sampling data of regular perturbations.
1 | RevNet.TimeLaggedMethod(data, max.time.lag, threshold)
|
data |
matrix with sampling data: time x variables |
max.time.lag |
the maximum time lag for which correlations need to be taken into account |
threshold |
threshold to affect sparsity of connection matrix. Define as a percentage the quantile-cutoff of values in the correlation matrix to not be interpreted as edges in the network. |
A connectivity matrix is returned.
Diana Hendrickx and Tim Dorscheidt
Reverse engineering of metabolic networks, a critical assessment. Diana M. Hendrickx, Margriet M. W. B. Hendriks, Paul H. C. Eilers, Age K. Smilde and Huub C. J. Hoefsloot. Mol. BioSyst, Volume 7:2 (2011) pages 511-520
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