作者: Tianxue Gong , Weixiang Liu , Lan Tao , Liandong Liu , Aifa Tang
DOI: 10.1109/ICBBE.2011.5780088
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摘要: The aim of this study is to select significant genes associated with spermatogenesis. We use singular value decomposition extract the principal component DNA microarray dataset and expression profile first eigengene shows tendency most genes' expression. Basing on observation, we rank using correlation each gene eigengene's profile. Five kinds methods are considered experimental results a real spermatogenesis demonstrate that cosine method can find 75 informative among top 100 probes/genes. selected genes, especially 10 probes/genes, related through literature analysis.