Ricardo Z N Vêncio1, Helena Brentani, Carlos A B Pereira. 1. 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
Abstract
MOTIVATION: 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. AVAILABILITY: The model is implemented in R statistical language script and is available under GNU/GLP copyleft at supplemental web site. SUPPLEMENTARY INFORMATION: http://www.ime.usp.br/~rvencio/SAGEci/
MOTIVATION: 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. AVAILABILITY: The model is implemented in R statistical language script and is available under GNU/GLP copyleft at supplemental web site. SUPPLEMENTARY INFORMATION: http://www.ime.usp.br/~rvencio/SAGEci/
Authors: Karina F Ribichich; Silvia M Salem-Izacc; Raphaela C Georg; Ricardo Z N Vêncio; Luci D Navarro; Suely L Gomes Journal: Eukaryot Cell Date: 2005-02
Authors: Israel T Silva; Ricardo Z N Vêncio; Thiago Y K Oliveira; Greice A Molfetta; Wilson A Silva Journal: BMC Bioinformatics Date: 2010-03-30 Impact factor: 3.169
Authors: Junior Barrera; Roberto M Cesar; Carlos Humes; David C Martins; Diogo F C Patrão; Paulo J S Silva; Helena Brentani Journal: BMC Bioinformatics Date: 2007-05-22 Impact factor: 3.169