Description Usage Arguments Value Author(s) See Also Examples
This function summarizes the posterior probability of possible attractors.
1 | attractorSummary(tpost, post.prob.limit = 0.01, wildtype = TRUE)
|
tpost |
a ternaryPost object |
post.prob.limit |
the minimum posterior probability for an attractor to be listed |
wildtype |
if TRUE, the wildtype attractors are summarized; if FALSE, the perturbed attractors are summarized. |
The function returns a matrix of attractors and posterior probabilities for each perturbation.
Matthew N. McCall and Anthony Almudevar
Almudevar A, McCall MN, McMurray H, Land H (2011). Fitting Boolean Networks from Steady State Perturbation Data, Statistical Applications in Genetics and Molecular Biology, 10(1): Article 47.
1 2 3 4 5 6 | ssObj <- matrix(c(1,1,1,0,1,1,0,0,1),nrow=3)
pObj <- matrix(c(1,0,0,0,1,0,0,0,1),nrow=3)
rownames(ssObj) <- rownames(pObj) <- colnames(ssObj) <- colnames(pObj) <- c("Gene1","Gene2","Gene3")
tnfitObj <- tnetfit(ssObj, pObj)
tnpostObj <- tnetpost(tnfitObj, mdelta=10, msample=10)
attractorSummary(tnpostObj)
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