ProbFAST: Probabilistic Functional Analysis System Tool
Contribuinte(s) |
UNIVERSIDADE DE SÃO PAULO |
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Data(s) |
17/04/2012
17/04/2012
2010
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Resumo |
Background: The post-genomic era has brought new challenges regarding the understanding of the organization and function of the human genome. Many of these challenges are centered on the meaning of differential gene regulation under distinct biological conditions and can be performed by analyzing the Multiple Differential Expression (MDE) of genes associated with normal and abnormal biological processes. Currently MDE analyses are limited to usual methods of differential expression initially designed for paired analysis. Results: We proposed a web platform named ProbFAST for MDE analysis which uses Bayesian inference to identify key genes that are intuitively prioritized by means of probabilities. A simulated study revealed that our method gives a better performance when compared to other approaches and when applied to public expression data, we demonstrated its flexibility to obtain relevant genes biologically associated with normal and abnormal biological processes. Conclusions: ProbFAST is a free accessible web-based application that enables MDE analysis on a global scale. It offers an efficient methodological approach for MDE analysis of a set of genes that are turned on and off related to functional information during the evolution of a tumor or tissue differentiation. ProbFAST server can be accessed at http://gdm.fmrp.usp.br/probfast. INCTC/CNPq Center for Research on Cell-based Therapy/CEPID/FAPESP Fundacao Hemocentro de Ribeirao Preto |
Identificador |
BMC BIOINFORMATICS, LONDON, v.11, MAR 30, 2010 1471-2105 http://producao.usp.br/handle/BDPI/14975 10.1186/1471-2105-11-161 |
Idioma(s) |
eng |
Publicador |
BIOMED CENTRAL LTD LONDON |
Relação |
BMC BIOINFORMATICS |
Direitos |
openAccess Copyright BIOMED CENTRAL LTD |
Palavras-Chave | #GENE-EXPRESSION ANALYSIS #TAG SAMPLING EXPERIMENTS #BREAST-CANCER #DIFFERENTIAL EXPRESSION #SERIAL ANALYSIS #WEB TOOL #SAGE #MICROARRAY #METASTASIS #REGULATOR #Biochemical Research Methods #Biotechnology & Applied Microbiology #Mathematical & Computational Biology |
Tipo |
article original article publishedVersion |