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  "Description": "From the perspective of metabolites as the continuation of\nthe central dogma of biology, metabolomics provides the closest\nlink to many phenotypes of interest. This makes metabolomics\nresearch promising in teasing apart the complexities of living\nsystems. However, due to experimental reasons, the data\nincludes non-biological variation which limits quality and\nreproducibility, especially if the data is obtained from\nseveral batches. The batchCorr package reduces unwanted\nvariation by way of between-batch alignment, within-batch drift\ncorrection and between-batch normalization using batch-specific\nquality control samples and long-term reference QC samples.\nPlease see the associated article for more thorough\ndescriptions of algorithms.",
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