pruneNet: Prune network by retaining strongest edges
In BaderLab/netDx: Network-based patient classifier
Description
Usage
Arguments
Value
View source: R/pruneNetByStrongest.R
Description
Prune network by retaining strongest edges
Usage
1
Arguments
net
(data.frame) Network to prune. Columns are: source,target,weight
vertices
(char) node names. Should match those in net[,1:2]
pctX
(numeric 0 to 1) Fraction of top/bottom edges to retain
useTop
(logical) if TRUE prunes to top pctX edges; else
prunes to bottom pctX edges
Value
(data.frame) pruned network. Three columns: AliasA, AliasB, and
weight
BaderLab/netDx documentation built on Sept. 26, 2021, 9:13 a.m.
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Description Usage Arguments Value
View source: R/pruneNetByStrongest.R
Description
Prune network by retaining strongest edges
Usage
1 |
Arguments
net |
(data.frame) Network to prune. Columns are: source,target,weight |
vertices |
(char) node names. Should match those in net[,1:2] |
pctX |
(numeric 0 to 1) Fraction of top/bottom edges to retain |
useTop |
(logical) if TRUE prunes to top pctX edges; else prunes to bottom pctX edges |
Value
(data.frame) pruned network. Three columns: AliasA, AliasB, and weight
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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