This function adds random false positive edges to the regulatory prior and will check if they become pruned.

1 2 |

`x` |
Model regulatory network. |

`motif` |
Motif used to construct the model regulatory network. |

`expr` |
Expression matrix used to construct model network. |

`ppi` |
PPI used to construct model regulatory network. |

`mode` |
a character string - either "augment" to add random edges or "remove" to remove random edges. |

`prop` |
numeric specifying number of edges to augment or remove from regulatory prior, as a proportion of the number of edges in the regulatory prior. |

`seed` |
Random seed. |

`...` |
Options for the panda function. |

ggplot heatmap list of indices of net corresponding to each TF

1 2 3 4 | ```
data(pandaToyData)
data(pandaResult)
regnet = slot(pandaResult,"regNet")
with(pandaToyData, testMotif(regnet, motif, mode="augment", expression, ppi, hamming=1))
``` |

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