testMotif | R Documentation |
This function adds random false positive edges to the regulatory prior and will check if they become pruned.
testMotif(
x,
motif,
expr,
ppi,
mode = c("augment", "remove"),
prop = 0.05,
seed = 1,
...
)
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
data(pandaToyData)
data(pandaResult)
regnet = slot(pandaResult,"regNet")
with(pandaToyData, testMotif(regnet, motif, mode="augment", expression, ppi, hamming=1))
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