An example of a collection of Bayesian network classifiers we learn. The collection consists of several classifiers C1,…,C
, one for each of the q subcellular locations. Directed edges represent dependencies between the connected nodes. There are edges among location variables (L1,…,L
), as well as between feature variables (F1,…,F
) and location variables (L1,…,L
), but not among the feature variables. The latter indicates independencies among features, as well as conditional independencies among features given the locations.