getEdgeAnnot: Get the annotation of the edges.
In lpNet: Linear Programming Model for Network Inference
Description
Usage
Arguments
Examples
Description
The function returns the annotation of the edges needed for the LP. Positive edges are annotated with "w+" and negative with "w-". The given nodes are just enumerated from 1 to n and the edge between node i and j is given by "w+_i_j" for the positive, respectively by "w-_i_j" for the negative edges. The annotation "w_i_^_0" defines the baseline activity of gene i.
Usage
1
getEdgeAnnot(n, allpos)
Arguments
n
Integer: number of genes.
allpos
Logical: should all edges be positive? Corresponds to learning only activating edges. Default: FALSE.
Examples
1
2
n <- 5
annot <- getEdgeAnnot(n)
lpNet documentation built on Nov. 8, 2020, 7:08 p.m.
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Description Usage Arguments Examples
Description
The function returns the annotation of the edges needed for the LP. Positive edges are annotated with "w+" and negative with "w-". The given nodes are just enumerated from 1 to n and the edge between node i and j is given by "w+_i_j" for the positive, respectively by "w-_i_j" for the negative edges. The annotation "w_i_^_0" defines the baseline activity of gene i.
Usage
1 | getEdgeAnnot(n, allpos)
|
Arguments
n |
Integer: number of genes. |
allpos |
Logical: should all edges be positive? Corresponds to learning only activating edges. Default: FALSE. |
Examples
1 2 | n <- 5
annot <- getEdgeAnnot(n)
|
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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