Description Usage Arguments Value Author(s) References See Also Examples
given two vectors of diseases, a list of disease-gene associations and a PPI network, this function will calculate network-based separation by method Separation.
1 | Separation(D1, D2, d2g, graph)
|
D1 |
a vector consists disease ids |
D2 |
another vector consists disease ids |
d2g |
a list of disease-gene associations |
graph |
an igraph graph object of PPI network |
a matrix of disease disease network-based separation which rownames is D1 and colnames is D2
Peng Ni, Min Li
Menche J, Sharma A, Kitsak M, et al. Uncovering disease-disease relationships through the incomplete interactome[J]. Science, 2015, 347(6224): 1257601.
1 2 3 4 5 6 7 8 | data(d2g_separation)
data(interactome)
graph_interactome<-graph.data.frame(interactome,directed=FALSE)
ds<-sample(names(d2g_separation),5)
sep<-Separation(ds,ds,d2g_separation,graph_interactome)
sim<-Separation2Similarity(sep)
sim
|
Loading required package: igraph
Attaching package: 'igraph'
The following objects are masked from 'package:stats':
decompose, spectrum
The following object is masked from 'package:base':
union
filtering disease-gene associations..
calculating separation distance between diseases.. this may need a lot of time.. be patient..
done..
colitis limb deformities, congenital
colitis 0.95209276 0.12645327
limb deformities, congenital 0.12645327 1.00000000
thoracic neoplasms 0.10247899 0.11409347
connective tissue diseases 0.08132086 0.00000000
movement disorders 0.14617886 0.08809145
thoracic neoplasms connective tissue diseases
colitis 0.10247899 0.08132086
limb deformities, congenital 0.11409347 0.00000000
thoracic neoplasms 0.93974458 0.08825901
connective tissue diseases 0.08825901 0.78475591
movement disorders 0.09698488 0.05491106
movement disorders
colitis 0.14617886
limb deformities, congenital 0.08809145
thoracic neoplasms 0.09698488
connective tissue diseases 0.05491106
movement disorders 0.91436974
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.