Figure 5

Example of conditional probability distribution calculated from the candidates identified for the known reactions in CauloCyc This figure shows the probability distribution for the average-fraction-aligned node. The set of candidates for all known reactions in the PGDB was divided into two subsets – true hits (those candidates that are assigned to a particular reaction in the PGDB) and false hits (those candidates that are not assigned to a particular reaction in the PGDB). We partition the values into nonoverlapping bins and determine the frequency of candidates within each bin for the two sets of hits. These frequencies make up the conditional probability distributions used for our Bayesian network. For example, if the avg fraction of query aligned for a candidate is 0.84, the P(average-fraction-aligned = 0.84 | has-function) = 0.16 and P(average-fraction-aligned = 0.84 | ¬has-function) = 0.02.