Emphasis on clustering of data of gene tissues
* Includes new research findings and activities in molecular biology
* Highlights the important general field of bioinformatics and genomics and discusses the impact of microarray analysis on both This review of methodologies for analyzing DNA microarray data is aimed at biostatisticians entering the field of microarray gene expression and biologists conducting statistical analyses of their own experimental data. Using an interdisciplinary approach, McLachlan (statistics, U. of Queensland), Do (biostatistics, U. of Texas) and Ambroise (Université, de Technologie de Compiègne, France) focus on tools and procedures for achieving reliable, reproducible results. They also cover the biology and technology underlying microarray experiments, as well as data cleaning and normalization.

 

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