Description Usage Arguments Value Author(s) References Examples

Network connections are estimated by analyzing concentration profiles, whereby non-zero slopes possibly indicate a network connection. Details of algorithm and the theory behind the algorithm can be found in the references section. This method needs very high frequency sampling data of single variable perturbations.

1 | ```
RevNet.ZeroSlopesMethod(X, deltat, threshold)
``` |

`X` |
multi-dimensional sampling matrix: time x variables x experiments |

`deltat` |
single value indicating the time difference between sampling moments |

`threshold` |
threshold for determining whether an edge is assumed or not; affects network-sparsity. |

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

1 2 | ```
data(RevNetZeroSlopes)
RevNet.ZeroSlopesMethod(RevNetZeroSlopes, 0.001, 0.00005)
``` |

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