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Microarray provides a large scale gene selection platform in post-genomics era. However biological verification of computational results is also time consuming. In this paper we apply computational methods to select novel and significant spermatogenesis-related genes based on microarray data from our research group and confirm them by other microarray dataset. Known and novel unclear genes are tested in our experiments and the consistency of expression profiles of selected genes during development from different microarray datasets demonstrates the effectiveness of the method.

Novel and Significant Spermatogenesis-related Gene Selection and Confirmation with Microarrays