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

Description Usage Arguments Value Author(s) References Examples

given two vectors of diseases, a list of disease-gene associations, a matrix of genes' graphlet signature in a PPI network and a weight vector of 73 orbits in graphlet theory, this function will calculate disease similarity by method Sun_function

1	Sun_topology(D1, D2, d2g, graphlet_sig_mat, weight)

`D1`	a vector consists disease ids
`D2`	another vector consists disease ids
`d2g`	a list of disease-gene associations
`graphlet_sig_mat`	matrix of graphlet signature of nodes in a ppi network calculated by orca, see examples below.
`weight`	a vector which elements are weight factors to each orbit in graphlet theory

a disease disease similarity matrix

Peng Ni, Min Li

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

data(d2g_fundo_symbol)
data(graphlet_sig_hprd) #get graphlet signatures of genes in HPRD PPI network
data(weight)
ds<-sample(names(d2g_fundo_symbol),5)
Sun_topology(ds,ds,d2g_fundo_symbol,graphlet_sig_hprd,weight)