Vêncio Ricardo Z N, Brentani Helena, Pereira Carlos A B
Departamento de Estatística, Instituto de Matemática e Estatística da Universidade de São Paulo, São Paulo 04601-003, Brazil, Fundação Antônio Prudente, São Paulo 01509-900, Brazil.
Bioinformatics. 2003 Dec 12;19(18):2461-4. doi: 10.1093/bioinformatics/btg357.
Statistical methods usually used to perform Serial Analysis of Gene Expression (SAGE) analysis are based on hypothesis testing. They answer the biologist's question: 'what are the genes with differential expression greater than r with P-value smaller than P?'. Another useful and not yet explored question is: 'what is the uncertainty in differential expression ratio of a gene?'.
We have used Bayesian model for SAGE differential gene expression ratios as a more informative alternative to hypothesis tests since it provides credibility intervals.
The model is implemented in R statistical language script and is available under GNU/GLP copyleft at supplemental web site.
通常用于进行基因表达序列分析（SAGE）的统计方法基于假设检验。它们回答了生物学家的问题：“哪些基因的差异表达大于r且P值小于P？”。另一个有用但尚未探讨的问题是：“一个基因的差异表达比率的不确定性是多少？”
我们将贝叶斯模型用于SAGE差异基因表达比率，作为假设检验的一种更具信息量的替代方法，因为它提供了可信区间。
该模型用R统计语言脚本实现，可在补充网站上根据GNU/GLP版权协议获取。
