Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Motivation: Microarray studies permit to quantify expression levels on a global scale by measuring transcript abundance of thousands of genes simultaneously. A difficulty when analysing expression measures is how to model variability for the whole set of genes. It is usually unrealistic to assume a common variance for each gene. Several approaches to model gene-specific variances are proposed.  take advantage of calibration experiments, in which the probes hybridized on the two channels come from the same population (self--self experiment). In this case it is possible to estimate the gene-specific variance, to be incorporated in comparative experiments on the same tissue, cellular line or species.#R##N##R##N#Results:  present two approaches to introduce prior information on gene-specific variability from a calibration experiment: an empirical Bayes model and a full Bayesian hierarchical model.  apply the methods in the analysis of human lipopolysaccharide-stimulated leukocyte experiments.#R##N##R##N#Availability: The calculations are implemented in WinBugs. The codes are available on request from the authors.#R##N##R##N#Contact: m.blangiardo@imperial.ac.uk
['Marta Blangiardo', 'Simona Toti', 'Betti Giusti', 'Rosanna Abbate', 'Alberto Magi', 'Filippo Poggi', 'Luciana Rossi', 'Francesca Torricelli', 'Annibale Biggeri']
I am writing a research paper on a idea Using a calibration experiment to assess gene-specific information: full Bayesian and empirical Bayesian models for two-channel microarray data
[{"from": "human", "value": "I am writing a research paper on a idea Using a calibration experiment to assess gene-specific information: full Bayesian and empirical Bayesian models for two-channel microarray data"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Motivation: Microarray studies permit to quantify expression levels on a global scale by measuring transcript abundance of thousands of genes simultaneously. A difficulty when analysing expression measures is how to model variability for the whole set of genes. It is usually unrealistic to assume a common variance for each gene. Several approaches to model gene-specific variances are proposed.  take advantage of calibration experiments, in which the probes hybridized on the two channels come from the same population (self--self experiment). In this case it is possible to estimate the gene-specific variance, to be incorporated in comparative experiments on the same tissue, cellular line or species.#R##N##R##N#Results:  present two approaches to introduce prior information on gene-specific variability from a calibration experiment: an empirical Bayes model and a full Bayesian hierarchical model.  apply the methods in the analysis of human lipopolysaccharide-stimulated leukocyte experiments.#R##N##R##N#Availability: The calculations are implemented in WinBugs. The codes are available on request from the authors.#R##N##R##N#Contact: m.blangiardo@imperial.ac.uk"}]