Supervised learning methods are used to build functions which accurately predict the behavior of new objects from observed data.They are therefore extremely useful in several computational biology problems, where they can exploit the increasing amount of empirical data generated by high-throughput technologies, or the accumulation of experimental knowledge in public databases. In several cases...