Figure 1From: Seeded Bayesian Networks: Constructing genetic networks from microarray dataA Bayesian network example where each random variable corresponds to a gene that can take one of three states corresponding to its transcriptional response: -1 for under-expressed, 0 for unchanged, and +1 for over-expressed. The table represents a subset of the complete set of conditional probabilities for Gene2, here indicating the likelihood that Gene2 is up-regulated given the transcriptional state of Gene1.Back to article page