calc.diffusionKernel: Calculation of diffusion kernel matrix
In pathClass: Classification using biological pathways as prior knowledge
Description
Usage
Arguments
Value
Author(s)
References
Description
Calculation of diffusion kernel matrix
Usage
1
calc.diffusionKernel(L, is.adjacency = FALSE, beta = 0)
Arguments
L
Laplacian or transition probability matrix
is.adjacency
is L a laplace or adjacency matrix
beta
beta parameter of the diffusion kernel. beta
controls the extent of diffusion.
Value
the diffusion kernel
Author(s)
Marc Johannes JohannesMarc@gmail.com
References
Schoelkopf B, Tsuda K, Vert JP: Kernel Methods in
Computational Biology, MIT Press; 2004.
pathClass documentation built on May 29, 2017, 11:44 p.m.
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Description Usage Arguments Value Author(s) References
Description
Calculation of diffusion kernel matrix
Usage
1 | calc.diffusionKernel(L, is.adjacency = FALSE, beta = 0)
|
Arguments
L |
Laplacian or transition probability matrix |
is.adjacency |
is L a laplace or adjacency matrix |
beta |
beta parameter of the diffusion kernel. beta controls the extent of diffusion. |
Value
the diffusion kernel
Author(s)
Marc Johannes JohannesMarc@gmail.com
References
Schoelkopf B, Tsuda K, Vert JP: Kernel Methods in Computational Biology, MIT Press; 2004.
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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