Selection of good two-color microarray designs using genetic algorithms
Seminar Room 1, Newton Institute
AbstractIdentifying differentially expressed genes is one of the main goals of microarray experiments. The use of an efficient design in microarray experiment can improve the power of the inferential procedure. Besides efficiency, robustness issues should also be considered in selecting good microarray designs because missing values often occur in microarray experiments. For a given number of available arrays and number of treatment conditions, different microarray designs can be considered. The number of possible designs could be very large and thus a complete search may not be computationally feasible. We propose a Genetic Algorithm based search procedure which considers both the efficiency and robustness criteria in selecting good microarray designs.
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