Description Usage Arguments Author(s) References See Also Examples
Given an input file, this function will calculate KEGG-based similarity and three GO-based similarities between each protein pair in the file
1 2 | GOKEGGSimsFromFile(input, output = "GOKEGGSims-ppiPre.csv", header = TRUE, sep = ",",
organism = "yeast", drop = "IEA")
|
input |
CSV format PPI network, each line of which is two interacting proteins. |
output |
Result will be saved in output file. |
header |
If the input file contains header. |
sep |
The separator of the input file. |
organism |
One of "anopheles", "arabidopsis", "bovine", "canine", "chicken", "chimp", "ecolik12", "ecsakai", "fly", "human", "malaria", "mouse", "pig", "rat", "rhesus", "worm", "xenopus", "yeast" and "zebrafish." |
drop |
A set of evidence codes based on which certain annotations are dropped. Use NULL to keep all GO annotations. |
Yue Deng <anfdeng@163.com>
[1] S. Benabderrahmane, M. Smail-Tabbone, O. Poch, A. Napoli, and M.-D. Devignes, "IntelliGO: a new vector-based semantic similarity measure including annotation origin", BMC Bioinformatics, vol. 11, no. 1, p. 588, 2010.
[2] J. Z. Wang, Z. Du, R. Payattakool, P. S. Yu, and C.-F. Chen, "A new method to measure the semantic similarity of GO terms", Bioinformatics, vol. 23, no. 10, pp. 1274-1281, May. 2007.
[3] S. Jain and G. Bader, "An improved method for scoring protein-protein interactions using semantic similarity within the gene ontology", BMC Bioinformatics, vol. 11, no. 1, p. 562, 2010.
[4] G. Yu, F. Li, Y. Qin, X. Bo, Y. Wu, and S. Wang, "GOSemSim: an R package for measuring semantic similarity among GO terms and gene products", Bioinformatics, vol. 26, no. 7, pp. 976-978, Apr. 2010.
TCSSGeneSim
IntelliGOGeneSim
GOKEGGSims
1 2 3 4 5 6 7 8 9 | #edges <- data.frame(node1=c("1132", "1133", "1134", "1134", "1145", "1147"),
# node2=c("1134", "1134", "1145", "1147", "1147", "1149"))
#graph<-igraph::graph.data.frame(edges,directed=FALSE)
#samplefile <- "ppiPre-GOKEGGSimsFromFile-sample.csv"
#write.csv(edges,file=samplefile,row.names=FALSE)
#GOKEGGSimsFromFile(input=samplefile,output="GOKEGGSims-ppiPre.csv", header=TRUE, sep=",",
# organism="human")
#result<-read.csv(file="GOKEGGSims-ppiPre.csv")
#print(result)
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