Predictive Analysis of Microarray Data
Microarray gene expression data are analyzed by means of a Bayesian nonparametric model, with emphasis on prediction of future observables, yielding a method for selection of differentially expressed genes and the corresponding classifier.
| Autores: | , |
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| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2014 |
| País: | Brasil |
| Institución: | Instituição de Ensino Superior e de Pesquisa (INSPER) |
| Repositorio: | Repositório Institucional da INSPER |
| Idioma: | inglés |
| OAI Identifier: | oai:repositorio.insper.edu.br:11224/4709 |
| Acceso en línea: | https://repositorio.insper.edu.br/handle/11224/4709 http://dx.doi.org/10.4236/ojgen.2014.41009 |
| Access Level: | acceso abierto |
| Palabra clave: | Bayesian Nonparametrics Dirichlet Process Microarray Data Differential Gene Expression Classification |
| Sumario: | Microarray gene expression data are analyzed by means of a Bayesian nonparametric model, with emphasis on prediction of future observables, yielding a method for selection of differentially expressed genes and the corresponding classifier. |
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