Description Usage Arguments Value Examples
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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