Spermatogenesis is a complex process orchestrated by the expression of thousands of genes encoding proteins that play essential roles during specific phases of germ cell development. The advent of DNA microarray technology has offered the promise of casting new insights onto deciphering secrets of life by monitoring activities of thousands of genes simultaneously. It is useful to apply microarray data in understanding the spermatogenesis [1].We illustrated the use of singular value decomposition in analyzing one spermatogenesis microarray dataset on the genomic scale [2]. The first eigengene shows a meaningful biological process in which genes express from low to high. And we applied a new gene sorting method based on the first eigengene, and show why it can be used with the first decomposed eigenarray. Some significant and novel genes sorted with the first eigengene provide promis ing expression profiles in spermatogenesis.
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