LossGeneTimeseries: Computes the loss for a gene over a list of timeseries.
In davidkwca/inferTPBN: Infer Threshold PBNs from Timeseries Data.
Description
Usage
Arguments
Value
Examples
Description
Makes use of LossGene, which computes the loss for only a
single timeseries.
Usage
1
LossGeneTimeseries(ts.multi, net, g)
Arguments
ts.multi
A list of timeseries.
net
A network.
g
A gene.
Value
A float.
Examples
1
2
3
net <- createNetwork(inputProbabilities=1, 5, 2, "homogeneous")
ts.multi <- simulateNetwork(net, 10, 50) # Creates 50 timeseries à 10 points
loss <- LossGeneTimeseries(ts.multi, net, 1)
davidkwca/inferTPBN documentation built on May 9, 2019, 12:53 p.m.
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Description Usage Arguments Value Examples
Description
Makes use of LossGene, which computes the loss for only a
single timeseries.
Usage
1 | LossGeneTimeseries(ts.multi, net, g)
|
Arguments
ts.multi |
A list of timeseries. |
net |
A network. |
g |
A gene. |
Value
A float.
Examples
1 2 3 | net <- createNetwork(inputProbabilities=1, 5, 2, "homogeneous")
ts.multi <- simulateNetwork(net, 10, 50) # Creates 50 timeseries à 10 points
loss <- LossGeneTimeseries(ts.multi, net, 1)
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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