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- W151573234 abstract "This chapter gives a background and an introduction to methods commonly used for data preprocessing; from traditional methods to recently developed model-based approaches for removal of unwanted variation in data. Growing use of multiple data sources and development of methods for data integration increases the demand on data preprocessing and also on the ability to generate data of high quality and reproducibility. The aims of applying preprocessing are discussed together with the recognized benefits and drawbacks this has on data and model quality." @default.
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- W151573234 date "2009-01-01" @default.
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- W151573234 title "Background Estimation, Denoising, and Preprocessing" @default.
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- W151573234 doi "https://doi.org/10.1016/b978-044452701-1.00097-1" @default.
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