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In the past several decades, batch method has been successfully applied to investigate metal sorption at mineral-solution interfaces.
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By comparing the fluorescence intensity values for the FCC1 and FCC2 catalyst batches, the reliability of the staining method has been verified.
The method has been validated on different batches of QC samples.
More recently, an empirical Bayes method has been described [ 3] that adjusts for batch effects even when the number of samples in each batch is small (< 10).
This method has been claimed to be especially robust when handling multiple batches and batches of small samples sizes (<25) and has recently been shown to outperform other commonly used batch-adjustment methods [ 22].
This microfabrication method has been evaluated on a laboratory scale and batch production.
The method has been extended to measure the thickness of semi-transparent batch inhibitor films (Menendez et al. 2010).
This method has been extended to measure the thickness of semi-transparent batch inhibitor films (Menendez et al. 2010).
Combined with the pairwise FDA, the method has been successfully applied to a large scale multi-batch bioprocess data set.
> -wrap-foot> aAfter hydrolysis process The outlined method has been used to study the carbohydrate content of S. cerevisiae in nitrogen-limited fed-batch fermentation.
Several batch correction methods have been developed for gene expression microarray, which include the EB approach applied in this work, distance weighted discrimination (DWD) [ 14], mean-centering [ 16], geometric ratio-based method [ 31], and surrogate variable analysis (SVA) [ 15].
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