title: Using credibility intervals instead of hypothesis tests in SAGE analysis.
abstract: BACKGROUND
  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?'.
  
  
  RESULTS
  We have used Bayesian model for SAGE differential gene expression ratios as a more informative alternative to hypothesis tests since it provides credibility intervals.
  
  
  BACKGROUND
  The model is implemented in R statistical language script and is available under GNU/GLP copyleft at supplemental web site.
  
  
  BACKGROUND
  http://www.ime.usp.br/~rvencio/SAGEci/
authors.affiliation: 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. rvencio@ime.usp.br
authors.forename: Ricardo Z N
authors.initials: RZ
authors.lastname: Vêncio
authors.forename: Helena
authors.initials: H
authors.lastname: Brentani
authors.forename: Carlos A B
authors.initials: CA
authors.lastname: Pereira
mesh_terms: D000465:Algorithms; D001943:Breast Neoplasms / Q000235:genetics; D020224:Expressed Sequence Tags; D020869:Gene Expression Profiling / Q000379:methods*; D006801:Humans; D008957:Models, Genetic; D015233:Models, Statistical; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D017422:Sequence Analysis, DNA / Q000379:methods*