mgoSim {GOSemSim} | R Documentation

## Semantic Similarity Between two GO terms lists

### Description

Given two GO term sets, this function will calculate the semantic similarity between them, and return their semantic similarity

### Usage

    mgoSim(GO1, GO2, semData, measure = "Wang", combine = "BMA")

### Arguments

`GO1` | A set of go terms.
`GO2` | Another set of go terms.
`semData` | GOSemSimDATA object
`measure` | One of "Resnik", "Lin", "Rel", "Jiang" and "Wang" methods.
`combine` | One of "max", "avg", "rcmax", "BMA" methods, for combining semantic similarity scores of multiple GO terms associated with protein or multiple proteins assiciated with protein cluster.

### Value

similarity

### References

Yu et al. (2010) GOSemSim: an R package for measuring semantic similarity among GO terms and gene products Bioinformatics (Oxford, England), 26:7 976–978, April 2010. ISSN 1367-4803 http://bioinformatics.oxfordjournals.org/cgi/content/abstract/26/7/976 PMID: 20179076

### See Also

`goSim` `geneSim` `mgeneSim` `clusterSim` `mclusterSim`

### Examples

        d <- godata('org.Hs.eg.db', ont="MF", computeIC=FALSE)
    go1 <- c("GO:0004022", "GO:0004024", "GO:0004023")
    go2 <- c("GO:0009055", "GO:0020037")
    mgoSim("GO:0003824", go2, semData=d, measure="Wang")
    mgoSim(go1, go2, semData=d, measure="Wang")

[Package GOSemSim version 2.12.1 Index]