Systems biology aims to integrate models and data from diverse
sources, and from different levels of description (from the molecular
level to cells, and organisms). Generating experimental
from microarrays, and learning from data have been identified as
This talk will report on some recently-proposed techniques that aim to use ontologies as a background theory for learning, and will present a classification task and a gene network search task (both applied to microarray data) where such a theory would be useful.