Description Usage Arguments Details Value See Also
Greedily add regulatory functions to explain a gene's time progression.
1 2 | innovateGeneUntilSaturated(ts.multi, net, g, partial = FALSE, verbal = TRUE,
thresh = 0.1, k.max = 3)
|
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. |
Genes are added until no more improvement is made or the upper limit is reached. In biological networks, a common assumption for the an upper bound on the number of inputs is in the range 3-5.
A network.
innovateGene
innovateGeneFunction
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