Skip to main content
Fig. 1 | BMC Systems Biology

Fig. 1

From: Bayesian network model for identification of pathways by integrating protein interaction with genetic interaction data

Fig. 1

The brief procedure of the annealed importance sampling. (a) Protein interaction network of a gene set. It is not necessary that this network has to be a connected graph. (b) The procedure sampling N k from p(N). This annealed run generates a sequence of networks: n m − 1, n m − 2, …, n 0, which are drawn from p j kept by temperature T j for the annealing run and genetic interaction score (j = 0,  … , m − 1). Where,\( {p}_j={p}^{1-{\beta}_j}p{(N)}^{\beta_j} \), 1 = β 0 > β 1 >  …  > β m − 1 = 0, the p is a uniform distribution from which an initial network n m − 1 can be drawn easily. Then let N k  = n 0, and save the weight ω j . (c) Genetic interaction profiles. Using the profiles, score of candidate network can be computed, and the distribution p(N), which is proportional f(n) shown as eq. (2), can be defined

Back to article page