initializeSignallingNetwork: receptor2tfDiffusion
In Amy3100/receptor2tfDiffusion: This package calculate single-sample network connectivity
Description
Usage
Arguments
Examples
Description
To calculate Network diffusion, there are mainly two steps: creating Signalling Network (SigNet) and
use SigNet output in calculate single-sample network connectivity using diffusion model.
Usage
1
initializeSignallingNetwork(network, nodeW)
Arguments
network
a dataframe of two columns "from" and "to" with strings representing gene IDs
nodeW
weight on the network node
Examples
1
2
#network <- initializeSignallingNetwork(network = network, nodeW = nodeW)
#{ ... }
Amy3100/receptor2tfDiffusion documentation built on Dec. 17, 2021, 8:47 a.m.
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Description Usage Arguments Examples
Description
To calculate Network diffusion, there are mainly two steps: creating Signalling Network (SigNet) and use SigNet output in calculate single-sample network connectivity using diffusion model.
Usage
1 | initializeSignallingNetwork(network, nodeW)
|
Arguments
network |
a dataframe of two columns "from" and "to" with strings representing gene IDs |
nodeW |
weight on the network node |
Examples
1 2 | #network <- initializeSignallingNetwork(network = network, nodeW = nodeW)
#{ ... }
|
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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