RevNet.TimeLaggedMethod: Reverse engineering of networks: Time-lagged correlation...

In MetStaT: Statistical metabolomics tools

Description

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.

Usage

  RevNet.TimeLaggedMethod(data, max.time.lag, threshold)

Arguments

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.

Value

A connectivity matrix is returned.

Author(s)

Diana Hendrickx and Tim Dorscheidt

References

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

Examples

data(RevNetTimeLagged)
RevNet.TimeLaggedMethod(RevNetTimeLagged, 50, .55)

MetStaT documentation built on May 2, 2019, 1:45 p.m.