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Microarray background correction: maximum likelihood estimation for the normal–exponential convolution
Background correction is an important preprocessing step for microarray data that attempts to adjust the data for the ambient intensity surrounding each feature. The “normexp” method models the observed pixel intensities as the sum of 2 random variables, one normally distributed and the other expone...
| Autores principales: | , , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
Oxford University Press
2009
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2648902/ https://www.ncbi.nlm.nih.gov/pubmed/19068485 http://dx.doi.org/10.1093/biostatistics/kxn042 |