This chapter aims to provide an introduction to the analysis of gene expression data obtained using microarray experiments. It has been divided into four sections. The fi rst section provides basic concepts on the working of microarrays and describes the basic principles behind a microarray experiment. The second section deals with the representation and extraction of information from images obtained from microarray experiments. The third section addresses different methods for comparing expression profi les of genes and also provides an overview of different methods for clustering genes with similar expression profi les. The last section focuses on relating gene expression data with other biological information; it will provide the readers with a feel for the kind of biological discoveries one can make by integrating gene expression data with external information.
CITATION STYLE
Dubitzky, W., Granzow, M., Downes, C. S., & Berrar, D. (2005). Introduction to Microarray Data Analysis. In A Practical Approach to Microarray Data Analysis (pp. 1–46). Kluwer Academic Publishers. https://doi.org/10.1007/0-306-47815-3_1
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