Analysis of complex, multidimensional datasets

Several exciting new technologies have been developed in the Biomedical and Life Sciences producing genome and proteome wide multidimensional datasets (see Glossary). However, discovery of the relevant information from this multidimensional data is still a very challenging task. This review examines the main analytic methodologies available to the practitioner. It considers their strengths and weaknesses from a practical standpoint and gives an application example for the classification of human health condition.

Section editors:Harald John – Bundeswehr, Institute of Pharmacology and Toxicology, Munich, GermanyRainer Bischoff – Centre of Pharmacy, University of Groningen, The Netherlands