Empirical Bayes Method
Mostrando 1-7 de 7 artigos, teses e dissertações.
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1. Gene expression study in citrus using linear models / Estudo de expressão gênica em citros utilizando modelos lineares
Neste trabalho apresenta-se uma revisão da metodologia de experimentos de microarray relativas a sua instalação e análise estatística dos dados obtidos. A seguir, aplica-se essa metodologia na análise de dados de expressão gênica em citros, gerados por um experimento de macroarray, utilizando modelos lineares de efeitos fixos considerando a inclusão
Publicado em: 2010
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2. Desenvolvimento de metodologias para determinação do bem-estar e massa corporal de frangos de corte por meio de análise digital de imagens / Development of methodologies for determination of broiler chicken welfare and body mass by means of digital image analysis
Advances have been made in the field of image processing as a technology for development of a consistent response in relation to new standards in animal welfare. One of the advantages of artificial vision systems in relation to those of human vision is the ability to make exact measurements, based on pixel count. This system also has no influence on animal b
Publicado em: 2009
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3. Predição de promotores de Bacillus subtilis usando técnicas de aprendizado de máquina
One of the most important goals of bioinformatics is the ability to identify genes in uncharacterized DNA sequences on world wide database. Gene expression on prokaryotes initiates when the RNA-polymerase enzyme interacts with DNA regions called promoters. In these regions are located the main regulatory elements of the transcription process. Despite the imp
Publicado em: 2005
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4. Prediction and estimation for the compound Poisson distribution
An empirical Bayes method is proposed for predicting the future performance of certain subgroups of a compound Poisson population.
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5. Normalization and Statistical Analysis of Quantitative Proteomics Data Generated by Metabolic Labeling*
Comparative proteomics is a powerful analytical method for learning about the responses of biological systems to changes in growth parameters. To make confident inferences about biological responses, proteomics approaches must incorporate appropriate statistical measures of quantitative data. In the present work we applied microarray-based normalization and
The American Society for Biochemistry and Molecular Biology.
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6. Evaluation of an Extended Grid Method for Estimation Using Nonparametric Distributions
A nonparametric population method with support points from the empirical Bayes estimates (EBE) has recently been introduced (default method). However, EBE distribution may, with sparse and small datasets, not provide a suitable range of support points. This study aims to develop a method based on a prior parametric analysis capable of providing a nonparametr
Springer US.
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7. Statistical resynchronization and Bayesian detection of periodically expressed genes
We propose a periodic–normal mixture (PNM) model to fit transcription profiles of periodically expressed (PE) genes in cell cycle microarray experiments. The model leads to a principled statistical estimation procedure that produces more accurate estimates of the mean cell cycle length and the gene expression periodicity than existing heuristic approaches.
Oxford University Press.