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Combining location-and-scale batch effect adjustment with data cleaning by latent factor adjustment

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In the context of high-throughput molecular data analysis it is common that the observations included in a dataset form distinct groups; for example, measured at different times, under different conditions or even in different labs. These groups are generally denoted as batches. |