KosarajuSCC: Caculating the strong connected components (SCC) of a network
In yiluheihei/RevEcoR: Reverse Ecology Analysis on Microbiome
Description
Usage
Arguments
Value
References
See Also
Examples
Description
This function utilizes Kosaraju's algorithm to caculate the
strong connetected components descomposition of a given network
Usage
1
KosarajuSCC(g)
Arguments
g,
a igraph object to be caculated
Value
a list which length is equal to the number of SCCs, each element represents a Scc
References
AV Aho, JE Hopcroft, JD Ullman: The design and analysis of computer algorithms, 1974
See Also
Examples
1
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## Not run:
metabolic.data <- getOrgMetabolicData("buc")
## metabolic network reconstruction
net <- reconstructGsMN(metabolic.data)
scc <- KosarajuSCC(net)
## End(Not run)
yiluheihei/RevEcoR documentation built on July 31, 2019, 9:17 a.m.
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Description Usage Arguments Value References See Also Examples
Description
This function utilizes Kosaraju's algorithm to caculate the strong connetected components descomposition of a given network
Usage
1 | KosarajuSCC(g)
|
Arguments
g, |
a igraph object to be caculated |
Value
a list which length is equal to the number of SCCs, each element represents a Scc
References
AV Aho, JE Hopcroft, JD Ullman: The design and analysis of computer algorithms, 1974
See Also
Examples
1 2 3 4 5 6 7 | ## Not run:
metabolic.data <- getOrgMetabolicData("buc")
## metabolic network reconstruction
net <- reconstructGsMN(metabolic.data)
scc <- KosarajuSCC(net)
## End(Not run)
|
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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