PSB: calculate disease similarity by PSB
In PengNi/dSimer: Integration of Disease Similarity Methods

Description Usage Arguments Value Author(s) References See Also Examples

given two vectors of diseases, a list of disease-GO term associations and a list of GO term-gene associations, this function will calculate disease similarity by method PSB

1	PSB(D1, D2, d2go, go2g)

`D1`	a vector consists disease ids
`D2`	another vector consists disease ids
`d2go`	a list of disease-go associations
`go2g`	a list of go-gene associations

a matrix of disease disease simialrity which rownames is D1 and colnames is D2

Peng Ni, Min Li

Mathur S, Dinakarpandian D. Finding disease similarity based on implicit semantic similarity[J]. Journal of biomedical informatics, 2012, 45(2): 363-371.

get_GOterm2GeneAssos, HypergeometricTest, Normalize

## these are samples of GO-gene associations and disease-GO associations
data(go2g_sample)
data(d2go_sample)

##### the entire associations can be obtained by follows:
## go2g<-get_GOterm2GeneAssos(GOONTOLOGY = "BP", geneid="SYMBOL") #get go-gene associations
## data(d2g_fundo_symbol)
## d2go<-HypergeometricTest(d2g = d2g_fundo_symbol,go2g = go2g)
##### ###################################################

ds<-names(d2go_sample)
sim<-PSB(ds,ds,d2go_sample,go2g_sample)
Normalize(sim)