SSP Group Meeting

11am, 22 June, 2004
Room 4.03, Appleton Tower
CISA, School of Informatics
University of Edinburgh

Ontology and Systems Biology

Stuart Aitken

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 data, e.g. from microarrays, and learning from data have been identified as important tasks.

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.