As studies using microarray technology have evolved, so have the data analysis methods used to analyze these experiments. The Critical Assessment of Microarray Data Analysis (CAMDA) conference was the first to establish a forum for a cross section of researchers to examine a common data set and apply innovative analytical techniques to microarray data. Methods of Microarray Analysis V includes selected papers from CAMDA'04, and focuses on data sets relating to a significant global health issue, malaria. The contributions come from research in such fields as statistics, biology, computer science and mathematics. The book also presents review papers, which provide a more general look at various analytical approaches, as well as background readings for the advanced topics discussed. Previous volumes in the series focus on classification (v. I), pattern recognition (v. II), quality control issues (v. III), and associating array data with a survival endpoint, lung cancer, (v. IV).