Among the bio chips the DNA chips are used for experiments on genes and provide useful information that could be further analyzed. The data provided by the DNA chips could be represented as a two dimensional matrix, in which one axis represents genes and the other represents samples. Finding meaningful data from the experiment data has become a very important issue. In this paper, we propose a classification mechanism using the Particle Swarm Optimization algorithm to process and analyze the large amount of data from DNA chips.