I'm learning to build Bayesian Network Based Modeling of Gene Regulatory Network of Cancerous Cellular Cells. So far, I have learned to form a Bayesian Network based on nature of genes(i.e Functional Genes and TFs). However, I cannot figure out how to give probability to each node/vertex. Is it possibile to somehow iterpret the centrality score of each vertex an associate the meaning with the probabilistic model in terms of cause and effect?
or can you atleast refer me a relevant research paper?
I believe I would be worth mentioning that I'm fairly new to this.
Here's my data of TFs and Sources.
|TF||Target||Model of Regulation||References|
Following is the sample of my data for network analysis, mostly containing centrality scores some graph properties.