Description Usage Arguments Value References Examples
Denoise the enhanced network and make it binary and symmetric.
1 | post_process(se,percent=0.9)
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se |
The enhanced disease specific network. |
percent |
what percentage of edges to be considered as noise. |
The denoised and symmetric enhanced disease-specific network.
DiSNEP: a Disease-Specific gene Network Enhancement to improve Prioritizing candidate disease genes (2020), Peifeng Ruan, Shuang Wang.
1 2 3 4 5 6 7 8 | #enhance the general network s0 into a disease specific network by diffusion on similarity network generated from disease omics data.
se=diffus_matrix(s0,adjacency)
#denoise the enhanced network and make it binary and symmetric.
se_post=post_process(se)
#prioritize the disease association signals.
res=diffus_vec(signals,se_post,"pvalue")
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