CAJ | 학술논문

肿瘤的发生与发展通常是由重要的细胞通路表达水平的反常导致的.尽管目前已经有很多工作利用基因表达谱数据以及一些其他的先验知识来寻找那些与肿瘤相关的基因集合,但还是没有一个恰当的基因集合的统计学方法.大多数研究都是直接将单基因的检验方法直接应用到基因集合上来.提出了基因集合的参数统计分析方法(p-SAGE),这个方法应用到大脑肿瘤的实验中,识别了许多显著的基因集合.一些新发现的基因集合是与信号转导和免疫相关的.这个简便有效的方法可以得出有生物学意义的结果.
종류적발생여발전통상시유중요적세포통로표체수평적반상도치적.진관목전이경유흔다공작이용기인표체보수거이급일사기타적선험지식래심조나사여종류상관적기인집합,단환시몰유일개흡당적기인집합적통계학방법.대다수연구도시직접장단기인적검험방법직접응용도기인집합상래.제출료기인집합적삼수통계분석방법(p-SAGE),저개방법응용도대뇌종류적실험중,식별료허다현저적기인집합.일사신발현적기인집합시여신호전도화면역상관적.저개간편유효적방법가이득출유생물학의의적결과.
Tumor genesis and development often result from deregulation of important biological pathways at the gene expression level. Although there has been much work focused on searching gene sets using gene expression data or other prior information, proper statistical testing of the gene sets is still an open question. Most studies have expanded the testing method of a single gene into the gene sets. Parametric statistical analysis of gene sets ( p-SAGE ) was presented for determining the significant gene sets or pathways associated with a phenotype of interest. The method was applied to brain tumor experiments to identify many gene sets. Some of the newly discovered gene sets were related to signal transduction and immunity. This simple and effective method gives useful biologically meaningful results.