Markus Ringnér, Carsten Peterson and Javed Khan
Analysing array data using supervised methods
Pharmacogenomics 3, 403-415 (2002)

Pharmacogenomics is the application of genomic technologies to drug discovery and development, as well as for the elucidation of the mechanisms of drug action on cells and organisms. DNA microarrays measure genome-wide gene expression patterns and are an important tool for pharmacogenomics applications, such as the identification of molecular targets for drugs, toxicological studies and molecular diagnostics. Genome-wide investigations generate vast amounts of data, and there is a need for computational methods to manage and analyse this information. Recently, several supervised methods, in which other information is utilized together with the gene expression data, have been used to characterize genes and samples. The choice of analysis methods will influence the results and their interpretation, therefore it is important to be familiar with each method, its scope and limitations. Here, methods with special reference to applications for pharmacogenomics are reviewed.