Sun_function: Sun's function measure of disease similarity calculating
In PengNi/dSimer: Integration of Disease Similarity Methods

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

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

1	Sun_function(D1, D2, d2go)

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

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

Peng Ni, Min Li

Sun K, Goncalves JP, Larminie C. Predicting disease associations via biological network analysis[J]. BMC bioinformatics, 2014, 15(1): 304.

get_GOterm2GeneAssos, HypergeometricTest

## get a sample of disease-GO associations
data(d2go_sample)

##### the entire disease-GO 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)
Sun_function(ds,ds,d2go_sample)