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- W2746374169 abstract "Microarray data, which come from many steps of production, have been known for containing noise. The pre-processing is implemented to reduce the noise, where the background is corrected. Prior to further analysis, many Illumina BeadArrays users have applied the convolution model, to estimate the true intensity value: a background corrected data, the model which has been adapted from where it was first developed on the Affymetrix platform. Several models based on the different underlying distributions and or the parameters estimation method have been proposed and applied. For instance, the exponential-gamma, the normal-gamma, and the exponential-normal convolutions with maximum likelihood estimation, non-parametric, Bayesian and moment methods of the parameters estimation. Including a recent exponential-log normal and gamma-log normal convolutions. However none of these existing models, in the benchmarking study, performs outstandingly to others. Each of them has its own drawback. Therefore, the need to build the new model is still widely opened. In this paper, we propose models and derive the estimator for the true intensity value based on the generalized beta and the generalized beta-normal convolutions as a generalization from the existing models." @default.
- W2746374169 created "2017-08-31" @default.
- W2746374169 creator A5040107226 @default.
- W2746374169 date "2013-12-20" @default.
- W2746374169 modified "2023-09-27" @default.
- W2746374169 title "Generalized estimators of the true intensity for the Illumina beadarrays, under the convolution model" @default.
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- W2746374169 hasPublicationYear "2013" @default.
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