Description Usage Arguments Details Value See Also
Add a new regulatory function complete with inputs.
1 2 | innovateGeneFunction(ts.multi, net, g, partial = FALSE, verbal = TRUE,
thresh = 0.1, k.max = 3, new.max = 1)
|
ts.multi |
A list of timeseries. |
net |
A network. |
g |
A gene. |
partial |
Whether optimization of threshold parameter a is done only for latest gene. Defaults to FALSE. |
verbal |
Whether progress messages should be displayed. |
thresh |
By how much the improvement has to be to count. This has to be greater than zero as otherwise new genes will always be added to the brim. |
k.max |
How many regulatory genes to allow maximally. To avoid excessive computation, this should be set to a small constant. Defaults to 3. |
new.max |
An integer indicating how many new regulatory sets can be generated at once. |
This starts by taking some of the probability off the previous inferred function and tries to find optimal genes and probabilities for the new function.
A network.
innovateGene
innovateGeneUntilSaturated
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