largestScoreComp: Component with largest score
In BioNet: Routines for the functional analysis of biological networks
Description
Usage
Arguments
Value
Author(s)
Examples
Description
The function extracts the component of the network with the largest score. All nodes have
to exceed the given level for the score.
Usage
1
largestScoreComp(network, score, level=0)
Arguments
network
Network in graphNEL or igraph format.
score
Vector of scores for the network.
level
Cut-off level for the score for the component.
Value
Subgraph of the network with a score larger than the given level.
Author(s)
Marcus Dittrich
Examples
1
2
3
4
5
6
7
8
library(DLBCL)
data(interactome)
data(dataLym)
network <- rmSelfLoops(interactome)
score <- dataLym$score001
names(score) <- dataLym$label
lComp <- largestScoreComp(network=network, score=score, level=1)
## Not run: plotModule(lComp)
BioNet documentation built on Nov. 8, 2020, 5:48 p.m.
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Description Usage Arguments Value Author(s) Examples
Description
The function extracts the component of the network with the largest score. All nodes have to exceed the given level for the score.
Usage
1 | largestScoreComp(network, score, level=0)
|
Arguments
network |
Network in graphNEL or igraph format. |
score |
Vector of scores for the network. |
level |
Cut-off level for the score for the component. |
Value
Subgraph of the network with a score larger than the given level.
Author(s)
Marcus Dittrich
Examples
1 2 3 4 5 6 7 8 | library(DLBCL)
data(interactome)
data(dataLym)
network <- rmSelfLoops(interactome)
score <- dataLym$score001
names(score) <- dataLym$label
lComp <- largestScoreComp(network=network, score=score, level=1)
## Not run: plotModule(lComp)
|
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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